In my last post, I covered what LiveView is at a high level. In this series, we’re going to dive deeper and implement a LiveView powered Markdown editor called Frampton. This series assumes you have some familiarity with Phoenix and Elixir, including having them set up locally. Check out Elizabeth’s three-part series on getting started with Phoenix for a refresher.

This series has a companion repository published on GitHub. Get started by cloning it down and switching to the starter branch. You can see the completed application on master. Our goal today is to make a Markdown editor, which allows a user to enter Markdown text on a page and see it rendered as HTML next to it in real-time. We’ll make use of LiveView for the interaction and the Earmark package for rendering Markdown. The starter branch provides some styles and installs LiveView.

Rendering Markdown

Let’s set aside the LiveView portion and start with our data structures and the functions that operate on them. To begin, a Post will have a body, which holds the rendered HTML string, and title. A string of markdown can be turned into HTML by calling Post.render(post, markdown). I think that just about covers it!

First, let’s define our struct in lib/frampton/post.ex:

Now the failing test (in test/frampton/post_test.exs):

Our render method will just be a wrapper around Earmark.as_html!/2 that puts the result into the body of the post. Add {:earmark, "~> 1.4.3"} to your deps in mix.exs, run mix deps.get and fill out render function:

Our test should now pass, and we can render posts! [Note: we’re using the as_html! method, which prints error messages instead of passing them back to the user. A smarter version of this would handle any errors and show them to the user. I leave that as an exercise for the reader…] Time to play around with this in an IEx prompt (run iex -S mix in your terminal):

Great! That’s exactly what we’d expect. You can find the final code for this in the render_post branch.

LiveView Editor

Now for the fun part: Editing this live!

First, we’ll need a route for the editor to live at: /editor sounds good to me. LiveViews can be rendered from a controller, or directly in the router. We don’t have any initial state, so let's go straight from a router.

First, let's put up a minimal test. In test/frampton_web/live/editor_live_test.exs:

This test doesn’t do much yet, but notice that it isn’t live view specific. Our first render is just the same as any other controller test we’d write. The page’s content is there right from the beginning, without the need to parse JavaScript or make API calls back to the server. Nice.

To make that test pass, add a route to lib/frampton_web/router.ex. First, we import the LiveView code, then we render our Editor:

Now place a minimal EditorLive module, in lib/frampton_web/live/editor_live.ex:

And we have a passing test suite! The ~L sigil designates that LiveView should track changes to the content inside. We could keep all of our markup in this render/1 method, but let’s break it out into its own template for demonstration purposes.

Move the contents of render into lib/frampton_web/templates/editor/show.html.leex, and replace EditorLive.render/1 with this one liner: def render(assigns), do: FramptonWeb.EditorView.render("show.html", assigns). And finally, make an EditorView module in lib/frampton_web/views/editor_view.ex:

Our test should now be passing, and we’ve got a nicely separated out template, view and “live” server. We can keep markup in the template, helper functions in the view, and reactive code on the server. Now let’s move forward to actually render some posts!

Handling User Input

We’ve got four tasks to accomplish before we are done:

1. Take markdown input from the textarea
2. Send that input to the LiveServer
3. Turn that raw markdown into HTML
4. Return the rendered HTML to the page.

Event binding

To start with, we need to annotate our textarea with an event binding. This tells the liveview.js framework to forward DOM events to the server, using our liveview channel. Open up lib/frampton_web/templates/editor/show.html.leex and annotate our textarea:

<textarea phx-keyup="render_post"></textarea>

This names the event (render_post) and sends it on each keyup. Let’s crack open our web inspector and look at the web socket traffic. Using Chrome, open the developer tools, navigate to the network tab and click WS. In development you’ll see two socket connections: one is Phoenix LiveReload, which polls your filesystem and reloads pages appropriately. The second one is our LiveView connection. If you let it sit for a while, you’ll see that it's emitting a “heartbeat” call. If your server is running, you’ll see that it responds with an “ok” message. This lets LiveView clients know when they've lost connection to the server and respond appropriately.

Now, type some text and watch as it sends down each keystroke. However, you’ll also notice that the server responds with a “phx_error” message and wipes out our entered text. That's because our server doesn’t know how to handle the event yet and is throwing an error. Let's fix that next.

Event handling

We’ll catch the event in our EditorLive module. The LiveView behavior defines a handle_event/3 callback that we need to implement. Open up lib/frampton_web/live/editor_live.ex and key in a basic implementation that lets us catch events:

The first argument is the name we gave to our event in the template, the second is the data from that event, and finally the socket we’re currently talking through. Give it a try, typing in a few characters. Look at your running server and you should see a stream of events that look something like this:

There’s our keystrokes! Next, let’s pull out that value and use it to render HTML.

Rendering Markdown

Lets adjust our handle_event to pattern match out the value of the textarea:

def handle_event("render_post", %{"value" => raw}, socket) do

Now that we’ve got the raw markdown string, turning it into HTML is easy thanks to the work we did earlier in our Post module. Fill out the body of the function like this:

If you type into the textarea you should see output that looks something like this:

Perfect! Lastly, it’s time to send that rendered html back to the page.

Returning HTML to the page

In a LiveView template, we can identify bits of dynamic data that will change over time. When they change, LiveView will compare what has changed and send over a diff. In our case, the dynamic content is the post body.

Open up show.html.leex again and modify it like so:

Refresh the page and see:

Whoops!

The @post variable will only be available after we put it into the socket’s assigns. Let’s initialize it with a blank post. Open editor_live.ex and modify our mount/3 function:

In the future, we could retrieve this from some kind of storage, but for now, let's just create a new one each time the page refreshes. Finally, we need to update the Post struct with user input. Update our event handler like this:

Let's load up http://localhost:4000/editor and see it in action.

Nope, that's not quite right! Phoenix won’t render this as HTML because it’s unsafe user input. We can get around this (very good and useful) security feature by wrapping our content in a raw/1 call. We don’t have a database and user processes are isolated from each other by Elixir. The worst thing a malicious user could do would be crash their own session, which doesn’t bother me one bit.

Check the edit_posts branch for the final version.

Conclusion

That’s a good place to stop for today. We’ve accomplished a lot! We’ve got a dynamically rendering editor that takes user input, processes it and updates the page. And we haven’t written any JavaScript, which means we don’t have to maintain or update any JavaScript. Our server code is built on the rock-solid foundation of the BEAM virtual machine, giving us a great deal of confidence in its reliability and resilience.

In the next post, we’ll tackle making a shared editor, allowing multiple users to edit the same post. This project will highlight Elixir’s concurrency capabilities and demonstrate how LiveView builds on them to enable some incredible user experiences.

I get into this situation sometimes. Maybe you do too. I merge feature work into a branch used to collect features, and then continue development but on that branch instead of back on the feature branch

and have to move those commits to the feature branch they belong in and take them out of the throwaway accumulator branch

Maybe you prefer

over

Either way, that works. But it'd be nicer if we didn't have to type or even remember the branches' names and the remote's name. They are what is keeping this from being a context-independent string of commands you run any time this mistake happens. That's what we're going to solve here.

Shorthands for longevity

I like to use all possible natively supported shorthands. There are two broad motivations for that.

1. Fingers have a limited number of movements in them. Save as many as possible left late in life.
2. Current research suggests that multitasking has detrimental effects on memory. Development tends to be very heavy on multitasking. Maybe relieving some of the pressure on quick-access short term memory (like knowing all relevant branch names) add up to leave a healthier memory down the line.

First up for our scenario: the - shorthand, which refers to the previously checked out branch. There are a few places we can't use it, but it helps a lot:

We cannot use - when cherry-picking a range

and even if we could we'd still have provide the remote's name (here, origin).

That shorthand doesn't apply in the later reset --hard command, and we cannot use it in the branch -D && checkout approach either. branch -D does not support the - shorthand and once the branch is deleted checkout can't reach it with -:

So we have to remember the remote's name (we know it's origin because we are devoting memory space to knowing that this isn't one of those times it's something else), the remote tracking branch's name, the local branch's name, and we're typing those all out. No good! Let's figure out some shorthands.

@{-<n>} is hard to say but easy to fall in love with

We can do a little better by using @{-<n>} (you'll also sometimes see it referred to be the older @{-N}). It is a special construct for referring to the nth previously checked out ref.

Back in our scenario, we're on qa-environment, we switch to feature, and then want to refer to qa-environment. That's @{-1}! So instead of

We can do

Here's where we are (🎉 marks wins from -, 💥 marks the win from @{-1})

One down, two to go: we're still relying on memory for the remote's name and the remote branch's name and we're still typing both out in full. Can we replace those with generic shorthands?

@{-1} is the ref itself, not the ref's name, we can't do

because there is no branch origin/@{-1}. For the same reason, @{-1} does not give us a generalized shorthand for the scenario's later git reset --hard origin/qa-environment command.

But good news!

Do @{u} @{push}

@{upstream} or its shorthand @{u} is the remote branch a that would be pulled from if git pull were run. @{push} is the remote branch that would be pushed to if git push was run.

we can

Tacking either onto a branch name will give that branch's @{upstream} or @{push}. For example

is the branch branch-a pulls from.

In the common workflow where a branch pulls from and pushes to the same branch, @{upstream} and @{push} will be the same, leaving @{u} as preferable for its terseness. @{push} shines in triangular workflows where you pull from one remote and push to another (see the external links below).

Going back to our scenario, it means short, portable commands with a minimum human memory footprint. (🎉 marks wins from -, 💥 marks the win from @{-1}, 😎 marks the wins from @{u}.)

Make the things you repeat the easiest to do

Because these commands are generalized, we can run some series of them once, maybe

or

and then those will be in the shell history just waiting to be retrieved and run again the next time, whether with CtrlR incremental search or history substring searching bound to the up arrow or however your interactive shell is configured. Or make it an alias, or even better an abbreviation if your interactive shell supports them. Save the body wear and tear, give memory a break, and level up in Git.

And keep going

The GitHub blog has a good primer on triangular workflows and how they can polish your process of contributing to external projects.

The FreeBSD Wiki has a more in-depth article on triangular workflow process (though it doesn't know about @{push} and @{upstream}).

The construct @{-<n>} and the suffixes @{push} and @{upstream} are all part of the gitrevisions spec. Direct links to each:

• @{-<n>}
  

• @{push}
  

• @{upstream}
  

Viget is full of outdoor enthusiasts and, of course, technologists. For this year's Pointless Weekend, we brought these passions together to build TrailBuddy. This app aims to solve that eternal question: Is my favorite trail dry so I can go hike/run/ride?

While getting muddy might rekindle fond childhood memories for some, exposing your gear to the elements isn’t great – it’s bad for your equipment and can cause long-term, and potentially expensive, damage to the trail.

There are some trail apps out there but we wanted one that would focus on current conditions. Currently, our favorites trail apps, like mtbproject.com, trailrunproject.com, and hikingproject.com -- all owned by REI, rely on user-reported conditions. While this can be effective, the reports are frequently unreliable, as condition reports can become outdated in just a few days.

Our goal was to solve this problem by building an app that brought together location, soil type, and weather history data to create on-demand condition predictions for any trail in the US.

We built an initial version of TrailBuddy by tapping into several readily-available APIs, then running the combined data through a machine learning algorithm. (Oh, and also by bringing together a bunch of smart and motivated people and combining them with pizza and some of the magic that is our Pointless Weekends. We'll share the other Pointless Project, Scurry, with you soon.)

The quest for data.

We knew from the start this app would require data from a number of sources. As previously mentioned, we used REI’s APIs (i.e. https://www.hikingproject.com/data) as the source for basic trail information. We used the trails’ latitude and longitude coordinates as well as its elevation to query weather and soil type. We also found data points such as a trail’s total distance to be relevant to our app users and decided to include that on the front-end, too. Since we wanted to go beyond relying solely on user-reported metrics, which is how REI’s current MTB project works, we came up with a list of factors that could affect the trail for that day.

First on that list was weather.

We not only considered the impacts of the current forecast, but we also looked at the previous day’s forecast. For example, it’s safe to assume that if it’s currently raining or had been raining over the last several days, it would likely lead to muddy and unfavorable conditions for that trail. We utilized the DarkSky API (https://darksky.net/dev) to get the weather forecasts for that day, as well as the records for previous days. This included expected information, like temperature and precipitation chance. It also included some interesting data points that we realized may be factors, like precipitation intensity, cloud cover, and UV index. 

But weather alone can’t predict how muddy or dry a trail will be. To determine that for sure, we also wanted to use soil data to help predict how well a trail’s unique soil composition recovers after precipitation. Similar amounts of rain on trails of very different soil types could lead to vastly different trail conditions. A more clay-based soil would hold water much longer, and therefore be much more unfavorable, than loamy soil. Finding a reliable source for soil type and soil drainage proved incredibly difficult. After many hours, we finally found a source through the USDA that we could use. As a side note—the USDA keeps track of lots of data points on soil information that’s actually pretty interesting! We can’t say we’re soil experts but, we felt like we got pretty close.

Putting our design hats on.

From the very first pitch for this app, TrailBuddy’s main differentiator to peer trail resources is its ability to surface real-time information, reliably, and simply. For as complicated as the technology needed to collect and interpret information, the front-end app design needed to be clean and unencumbered.

We thought about how users would naturally look for information when setting out to find a trail and what factors they’d think about when doing so. We posed questions like:

• How easy or difficult of a trail are they looking for?
• How long is this trail?
• What does the trail look like?
• How far away is the trail in relation to my location?
• For what activity am I needing a trail for?
• Is this a trail I’d want to come back to in the future?

By putting ourselves in our users’ shoes we quickly identified key features TrailBuddy needed to have to be relevant and useful. First, we needed filtering, so users could filter between difficulty and distance to narrow down their results to fit the activity level. Next, we needed a way to look up trails by activity type—mountain biking, hiking, and running are all types of activities REI’s MTB API tracks already so those made sense as a starting point. And lastly, we needed a way for the app to find trails based on your location; or at the very least the ability to find a trail within a certain distance of your current location.

Using machine learning to predict trail conditions.

As stated earlier, none of us are actual soil or data scientists. So, in order to achieve the real-time conditions reporting TrailBuddy promised, we’d decided to leverage machine learning to make predictions for us. Digging into the utility of machine learning was a first for all of us on this team. Luckily, there was an excellent tutorial that laid out the basics of building an ML model in Python. Provided a CSV file with inputs in the left columns, and the desired output on the right, the script we generated was able to test out multiple different model strategies, and output the effectiveness of each in predicting results, shown below.

We assembled all of the historical weather and soil data we could find for a given latitude/longitude coordinate, compiled a 1000 * 100 sized CSV, ran it through the Python evaluator, and found that the CART and SVM models consistently outranked the others in terms of predicting trail status. In other words, we found a working model for which to run our data through and get (hopefully) reliable predictions from. The next step was to figure out which data fields were actually critical in predicting the trail status. The more we could refine our data set, the faster and smarter our predictive model could become.

We pulled in some Ruby code to take the original (and quite massive) CSV, and output smaller versions to test with. Now again, we’re no data scientists here but, we were able to cull out a good majority of the data and still get a model that performed at 95% accuracy.

With our trained model in hand, we could serialize that to into a model.pkl file (pkl stands for “pickle”, as in we’ve “pickled” the model), move that file into our Rails app along with it a python script to deserialize it, pass in a dynamic set of data, and generate real-time predictions. At the end of the day, our model has a propensity to predict fantastic trail conditions (about 99% of the time in fact…). Just one of those optimistic machine learning models we guess.

Where we go from here.

It was clear that after two days, our team still wanted to do more. As a first refinement, we’d love to work more with our data set and ML model. Something that was quite surprising during the weekend was that we found we could remove all but two days worth of weather data, and all of the soil data we worked so hard to dig up, and still hit 95% accuracy. Which … doesn’t make a ton of sense. Perhaps the data we chose to predict trail conditions just isn’t a great empirical predictor of trail status. While these are questions too big to solve in just a single weekend, we'd love to spend more time digging into this in a future iteration.

Our first remote office opened in 2007 when a designer and a developer left our HQ office and moved to Durham. Ever since we've been fine-tuning our ability to collaborate across locations. Today, we have team members across the country in our four offices, and we have fully remote employees in Charleston, Kansas City, New York City, Dallas, and Charlottesville.

Because of the coronavirus outbreak, a lot of people recently started working from their homes across the world, the country, and Viget. We wanted to share some of our best practices for being great teammates and doing great work, regardless of locale, and we’d love to hear yours in the comments.

Communicate Often and Write It Down

We want every person at Viget to be informed and connected. We do this in a few ways. We have a company Knowledge Base, which contains critical information including HR policies, office processes, brand guidelines, project resources, etc. We also have a well-organized Google Drive that everyone can access.

My favorite communication tool we use, however, is our Internal Lab Report. Every week, we create a Google Doc with HR updates, birthdays, upcoming events we’re attending, relevant publicity we or a client received, and timely updates on projects, sales, and recruiting. This report allows the entire team to have the same information, regardless of PTO schedules, and it provides a record that can be referenced weeks, months, or years later.

I have also found our Slack habits really helpful. We try to make our availability easily known, mostly via a passive Slack status. We each update our status daily, sometimes multiple times, so people can see if we’re working from home, out of the office for an appointment, in a meeting, or offline for a personal phone call. We also have a few Slack Channels we use very specifically to announce PTO, important announcements, and recently, one that is specific to the updating coronavirus situation.

Figure Out Your Boundaries

This looks different for everyone and can be an ever-changing target. Understanding your boundaries requires you to be honest with yourself – Are you easily distracted? Can you successfully work in pajama pants? Will your dog actually allow you to get work done? Does working from the couch result in good work, or do you need a designated work spot? For some, working from home requires setting boundaries to ensure the work gets done. For others, working from home requires setting a start and stop times to ensure you don’t overwork yourself.

Viget has a flexible work policy, so many of us work from home fairly often and have gotten our routines set up. As such, we have written about this before! Check out Trevor’s article about working remotely.

Show Your Face

When I first started at Viget, I’d never worked anywhere that used a Google Hangout for nearly every meeting. At first, I was tempted to call into meetings and leave the camera off because I found it exposing. Now, I can’t imagine not using it, and I’ve even embraced it in my personal life with friends and family. I realized the value in face-to-face conversations even in virtual form, the ability to see body language, and the connection you establish when you see each other's faces — even if your hair isn't perfect or you haven't arranged your plants just-so in the view behind you. Whenever possible, use your camera during a meeting. It increases trust, communication, and in my personal-not-backed-by-science-opinion, lightness, which frankly, I think we can all use a bit more of right now.

Create Shared Experiences

As a company with project teams often distributed across our four locations, cross-office experiences are vital to our culture, and we’ve spent years working to keep our remote offices in sync. A few of our ongoing group activities include a monthly virtual Book Club, our weekly full-team Free Lunch Friday tradition, Donut for Slack, and, of course, our Pointless Weekends.

The current global health crisis now requires almost all of the company to work remote, so we’ve gotten creative with our attempts to increase non-project time together, in order to keep up the vibes we’ve worked hard to create.

What we’ve recently started:

• Last Weekend this Morning - Monday mornings, we have an optional virtual coffee, where anyone who’d like to chat can join and share the latest gardening lesson or bingeable tv show. It lets us start our week off as we would when we’re all in the office — saying hello to each other.
• Virtual Happy Hours - We are a company that likes to socialize, and a bit of distance doesn’t stop us. This week, we set up an after-hours Happy Hour for St. Patrick’s Day.
• Daily Lunch Table- If you’ve ever visited our HQ office in Falls Church, you’ll notice our large kitchen table. We have an informal tradition of gathering around noon to eat together, whether it’s just a couple folks or the whole team. We now do this lunch virtually. So far, we’re mostly taking turns discussing who is eating what, and of course, sharing said recipes.

I crowdsourced some ideas from the Viget team, and here are some noteworthy takeaways:

"In remote meetings, minimize all your other windows and be fully present. It’s easy to allow your attention to accidentally drift if you see a new Slack channel light up, especially if you’re in a larger meeting. Suddenly, you find yourself multitasking. Treat the meeting as if you were there in person: unless you’re taking notes, minimize your other tabs, and give the conversation your full attention."
- Paul Koch

“I try to reach out to more folks I don’t consistently work with. Since there’s less interaction in general, I want to be more intentional about staying connected.”
- Laura Sweltz

“Good habits are hard to form and bad habits are hard to break, and it’s often hard to find the right time to make a change. Most of us are experiencing a disruption to our usual behaviors right now, but that doesn’t have to be entirely bad. Be deliberate now and when this is over, we might all end up with some new work habits worth keeping.”
- Emily Bloom

“I’ve found it helpful to create a physical space similar to the one I had at work. While this isn’t exactly possible, small things like setting up a laptop stand and second screen make it so I’m less likely to get distracted and wander to the couch or kitchen (aka the snack danger zone.).”
- Aubrey Lear

“It’s easy to get stuck in one spot all day, so be proactive about moving around, or creating excuses to do so. Whether that’s making yourself a cup of coffee, eating lunch away from your computer, or going for a quick walk outside for some fresh air. This will help reduce the risk of going stir crazy.”
-Zach Robbins

True to Viget form, our remote work is all about “Progress, Not Perfection.” While remote collaboration is ingrained in our company, we’re looking for opportunities to fine-tune our approach and improve our habits.

We’d love to hear from you: What are your best practices? Lessons learned?

Though I usually enjoy working from Viget’s lovely Boulder office, during quarantine I am now working from home while simultaneously parenting my 3-year-old daughter Audrey. My husband works in healthcare and though he is not on the front lines battling COVID-19, he is still an essential worker and as such leaves our home to work every day.

Some working/parenting days are great! I somehow get my tasks accomplished, my kid is happy, and we spend some quality time together.

And some days are awful. I have to ignore my daughter having a meltdown and try to focus on meetings, and I wish I wasn’t in this situation at all. Most days are somewhere in the middle; I’m just doing my best to get by.

I’ve seen enough working parent memes and cries for help on social media to know that I’m not alone. There are many parents out there who now get to experience the stress and anxiety of living through a global pandemic while simultaneously navigating ways to stay productive while working from home and being an effective parent. Fun isn’t it?

I’m not an expert on the matter, but I have found a few small things that are making me feel a bit more sane. I hope sharing them will make someone else’s life easier too.

Truths to Accept

First, let’s acknowledge some truths about this new situation we find ourselves in:

Truth 1: We’ve lost something.

Parents have lost more than daycare and schools during this epidemic. We’ve lost any time that we had for ourselves, and that was really valuable. We no longer have small moments in the day to catch up on our personal lives. I no longer have a commute to separate my work duties from my mom duties, or catch up with my friends, or just be quiet.

Truth 2: We’re human.

The reason you can’t be a great employee and a great parent and a great friend and a great partner or spouse all day every day isn’t because you’re doing a bad job, it’s because being constantly wonderful in all aspects of your life is impossible. Pick one or two of those things a day to focus on.

Truth 3: We’re all doing our best.

This is the most important part of this article. Be kind to yourselves. This isn’t easy, and putting so much pressure on yourself that you break isn’t going to make it any easier.

Work from Home Goals

Now that we’ve accepted some truths about our current situation, let’s set some goals.

Goal 1: Do Good Work

At Viget, and wherever you work, with kids or without we all want to make sure that the quality of our work stays up throughout the pandemic and that we can continue to be reliable team members and employees to the best of our abilities.

Goal 2: Stay Sane

We need to figure out ways to do this without sacrificing ourselves entirely. For me, this means fitting my work into normal work hours as much as possible so that I can still have some downtime in the evenings.

Goal 3: Make This Sustainable

None of us knows how long this will last but we may as well begin mentally preparing for a long haul.

Work from Home Rules

Now, there are some great Work from Home Rules that apply to everyone with or without kids. My coworker Paul Koch shared these with the Viget team a Jeremy Bearimy ago and I agree this is also the foundation for working from home with kids.

1. When you’re in a remote meeting, minimize other windows to stay focused
2. Set a schedule and avoid chores*
3. Take breaks away from the screen
4. Plan your workday on the calendar+
5. Be mindful of Slack and social media as a distraction
6. Use timers+
7. Keep your work area separate from where you relax
8. Pretend that you’re still WFW
9. Experiment and figure out what works for you

In the improv spirit I say “Yes, AND….” to these tips. And so, here are my adjusted rules for WFH while kiddos around: These have both been really solid tools for me, so let’s dig in.

Day Planning: Calendars and Timers

A few small tweaks and adjustments make this even more doable for me and my 3-year-old. First- I don’t avoid chores entirely. If I’m going up and down the stairs all day anyway I might as well throw in a load of laundry while I’m at it. The more I can get done during the day means a greater chance of some down time in the evening.

Each morning I plan my day and Audrey’s day:

When we make the schedule together it also helps me understand her favorite parts of the day and reminds me to include them.

Once our days are planned, I also use timers to help keep the structure of the day. (I bought a great alarm clock for kids on Amazon that turns colors to signal bedtime and quiet time. It’s been hugely worth it for me.)

Work from Home Rules: Updated for Parents

Finally, I have a few more Work from Home Rules for parents to add to the list:

1. Minimize other windows in remote meetings
2. Set a schedule and fit in some chores if time allows
3. Take breaks away from the screen
4. Schedule both your and your kids’ days
5. Be mindful of Slack and social media as a distraction
6. Use timers to track your own time and help your kids understand the day
7. Keep your work area separate from where you relax
8. Pretend that you’re still WFW
9. Experiment and figure out what works for you
10. Be prepared with a few activities
    • Each morning, have just ONE thing ready to go. This can be a worksheet you printed out, a coloring station setup, a new bag of kinetic sand you just got delivered from Amazon, a kids dance video on YouTube or an iPad game. Recently I started enlisting my mom to read stories on Facetime. The activity doesn’t have to be new each day but (especially for young kids) it has to be handy for you to start up quickly if your schedule changes
11. Clearly communicate your availability with your team and project PMs
    • Life happens. Some days are going to be hard. Whatever you do, don’t burn yourself out or leave your team hanging. If you need to move a meeting or take a day off, communicate that as early and as clearly as you can.
12. Take PTO if you can
    • None of us are superheroes. If you’re feeling overwhelmed- take a look at the next few days and figure out which one makes the most sense for you to take a break.
13. Take breaks to be alone without doing a task
    • Work and family responsibilities have blended together, there’s almost no room for being alone. If you can find some precious alone time don’t use it to fold laundry or clean the bathroom. Just zone out. I think we all really need this.

Last but not least, enjoy your time at home if you can. This is an unusual circumstance and even though it’s really hard, there are parts that are really great too.

If you have some great WFH tips we’d love to hear about them in the comments!

So you’ve just written a blog post or tweet about why wireframes are becoming obsolete, the dangers of “too accessible” design, or how a certain style of icon creates “cognitive fatigue.”

Your post went viral, but now you’re getting ratioed by rude people on the Internet. That sucks! You were just trying to start a conversation and you probably didn’t deserve all that negativity (except for you, “too accessible” guy).

Most likely, you made one of these common mistakes:

1. You made generalizations about “design”

You, a good user-centered designer, know that you are not your user. Nor are you every designer.

First of all, let's acknowledge that there is no universal definition of design. Even if we narrow it down to software design, it’s still hard to make generalizations. Agency, in-house, product, startup, enterprise, non-profit, website, app, connected hardware, etc. – there are a lot of different work contexts and cultures for people with “designer” in their titles.

"The Design Industry" is not a thing, but even if it were, you don't speak for it. Don’t assume that the kind of design work you do is the universal default.

2. You didn’t share enough context

There are many great design books and few great design blog posts. (There are, to my knowledge, no great design tweets, but I am open to your suggestions.) Writing about design is not well suited to short formats, because context plays such an important role and there’s always a lot of it to cover.

Writing about your work should include as much context as you would include if you were presenting your portfolio for a job interview. What kind of organization did you work for? Who was your client and/or your stakeholders? What was the goal of the project? Your timeline? What was the makeup of your team? What were the notable business rules and constraints? How are you defining effectiveness and success?

Without these kinds of details, it’s not possible for other designers to know if what you’ve written is credible or applicable to them.

3. You were too certain

A blog post doesn’t need to be a dissertation. It’s okay to share hunches and anecdotes, but give the necessary caveats. And if you're making claims about science, bruh, you gotta cite your sources.

Be humble in your takes. Your account of what worked for you and why is more valuable to your peers than making sweeping claims and reheating the same old arguments. Be prepared to be told you’re wrong, and have the humility to realize that your perspective is just your perspective. Real conversations, like good design, are built on feedback and diverse viewpoints.

—

Together, we can improve the discourse in our information ecosystems. Don't generalize. Give context. Be humble.

During the winter 2020 Pointless Weekend, we built TrailBuddy (working app coming soon). Our team consisted of four developers, two project managers, two front-end developers, a digital-analyst, a UXer, and a designer. In about 48 hours, we took an idea from Jeremy Field’s head to a (mostly) working app. We broke up the project in two parts:. First, a back-end that crunches trail, weather, and soil data. That data is exposed via a GraphQL API for a web app to consume.

While developers built the API, I built a static front end using Next.js. Famously, static front-ends don’t have a database, or a concept of “users.” A bit of functionality I wanted to add was saving favorite trails. I didn’t want to be hacky about it, I needed some way to add users and a database. I knew it’d be hard for the developers to set this up as part of the API, they had their hands full with all the #soil-soil-soil-soil-soil (a slack channel dedicated solely to figuring out our soil data problem—those were plentiful.) I had been looking for an excuse to use Userbase, and this seemed like as good a time as any.

A textbook Userbase use case

“When would I use it?” The Usebase site lists these reasons:

• If you want to build a web app without writing any backend code.
• If you never want to see your users' data.
• If you're tired of dealing with databases.
• If you want to radically simplify your GDPR compliance.
• And if you want to keep things really simple.

This was a perfect fit for my problem. I didn’t want to write any more backend code for this. I didn’t want to see our user’s data, I don’t care to know anyone’s favorite trails.* A nice bonus to not having users in our backend was not having to worry about keeping their data safe. We don’t have their data at all, it’s end-to-end encrypted by Userbase. We can offer a reasonable amount of privacy for free (well for the price of using Userbase: $49 a year.) I am not tired of dealing with databases, but I’d rather not. I don’t think anyone doesn’t want to simplify their GDPR compliance. Finally, given our tight timeline I wanted nothing more than to keep things really simple.

Using Userbase

Userbase can be tried for free, so I set aside thirty minutes or so to do a quick proof of concept to make sure this would work out for us. I made an account and followed their Quickstart. Userbase is a fundamentally easy tool to use, but their quickstart is everything I’d want out of a quickstart:

• Written in the most vanilla way possible (just HTML and vanilla JS). This means I can adapt it to my needs, in this case React using Next.js
• Easy to follow, it does the most barebones tour of the functionality you can expect to get out of the SDK (software development kit.) In other words it is quick and it is a start
• It has a live demo and code samples you can download and run yourself

It didn’t take long after that to integrate Userbase into our app with more help from their great docs. I debated whether to add code samples of what we did here, and I didn’t because any reader would be better off using the great quickstart and docs Userbase provides—they are that clear, and that good. Depending on your use case you’ll need to adapt the examples to your needs, for us the trickiest things were creating a top level authentication context to manage users in the app, and a custom hook to encapsulate all the logic for setting, updating, and deleting favourite trails in the app. Userbase’s SDK worked seamlessly for us.

Is Userbase for you?

Maybe. I am definitely a fan, so much so that this blog post probably reads like an advert. Userbase saved me a ton of time in this project. It reminded me of “The All Powerful Front End Developer” talk by Chris Coyer. I don’t fully subscribe to all the ideas in that talk, but it is nice to have “serverless” tools like Userbase, and all the new JAMstacky things. There are limits to the Userbase serverless experience in terms of scale, and control. Obviously relying on a third party for something always carries some (probably small) risk—it’s worth noting Usebase includes a note on their pricing page that says “You can host it yourself always under your control, or we can run it for you for a full serverless experience”—Still, I wouldn’t hesitate this to use in future projects.

One of the great things about Viget and Pointless Weekend is the opportunity to try new things. For me that was Next.js and Userbase for Trailbuddy. It doesn’t always work out (in fact this is my first pointless weekend where a risk hasn’t blown up in my face) but it is always fun. Getting to try out Userbase and beginning to think about how we may use it in the future made the weekend worthwhile for me, and it made my job on this project much more enjoyable.

*I will write a future post about privacy conscious analytics in TrailBuddy when I’ve figured that out. I am looking into Fathom Analytics for that.

Setting it up

First, here's the config setup you need to even allow for such a radical concept.

1. Define the global gitignore file as a global Git configuration:

   git config --global core.excludesfile ~/.gitignore
   

   If you're on OSX, this command will add the following config lines in your ~/.gitconfig file.

   [core]
     excludesfile = /Users/triplegirldad/.gitignore
   

2. Load that ~/.gitignore file up with whatever you want. It probably doesn't exist as a file yet so you might have to create it first.

Harnessing its incredible power

There are only two lines in my global gitignore file and they are both fairly useful pretty much all the time.

$ cat ~/.gitignore
TODO.md
playground

This 2 line file means that no matter where I am, what project I'm working on, where in the project I'm doing so, I have an easy space to stash notes, thoughts, in progress ideas, spikes, etc.

TODO.md

More often than not, I'm fiddling around with a TODO.md file. Something about writing markdown in your familiar text editor speaks to my soul. It's quick, it's easy, you have all the text editing tricks available to you, and it never does anything you wouldn't expect (looking at you auto-markdown-formatting editors). I use one or two # for headings, I use nested lists, and I ask for nothing more. Nothing more than more TODO.md files that is!

In practice I tend to just have one TODO.md file per project, right at the top, ready to pull up in a few keystrokes. Which I do often. I pull this doc up if:

• I'm in a meeting and I just said "oh yeah that's a small thing, I'll knock it out this afternoon".
• I'm halfway through some feature development and realize I want to make a sweeping refactor elsewhere. Toss some thoughts in the doc, and then get back to the task at hand.
• It's the end of the day and I have to switch my brain into "feed small children" mode, thus obliterating everything work-related from my short term memory. When I open things up the next day and know exactly what the next thing to dive into was.
• I'm preparing for a big enough refactor and I can't hold it all in my brain at once. What I'd give to have an interactive 3D playground for brain thoughts, but in the meantime a 2D text file isn't a terrible way to plan out dev work.

playground

Sometimes you need more than some human words in a markdown file to move an idea along. This is where my playground directory comes in. I can load this directory up with code that's related to a given project and keep it out of the git history. Because who doesn't like a place to play around.

I find that this directory is more useful for long running maintenance projects over fast moving greenfield ones. On the maintenance projects, I tend to find myself assembling a pile of scripts and experiments for various situations:

• The client requests a one-time obscure data export. Whip up some CSV generation code and save that code in the playground directory.
• The client requests a different obscure data export. Pull up the last time you did something vaguely similar and save yourself the startup time.
• A batch of data needs to be imported just once. Might as well stash that in the chance that "just once" is actually "just a few times".
• Kicking the tires on an integration with a third party service.

Some of these playground files end up being useful more times than I can count (eg: the ever-changing user_export.rb script). Some items get promoted into application code, which is always fun. But most files here serve their purpose and then wither away. And that's fine. It's a playground, anything goes.

Wrapping up

Having a personal space for project-specific notes and code has been helpful to me over the years as a developer on multiple projects. If you have your own organizational trick, or just want to brag about how you memorize everything without any markdown files, let me know in the comments below!

In my last post, I covered what LiveView is at a high level. In this series, we’re going to dive deeper and implement a LiveView powered Markdown editor called Frampton. This series assumes you have some familiarity with Phoenix and Elixir, including having them set up locally. Check out Elizabeth’s three-part series on getting started with Phoenix for a refresher.

This series has a companion repository published on GitHub. Get started by cloning it down and switching to the starter branch. You can see the completed application on master. Our goal today is to make a Markdown editor, which allows a user to enter Markdown text on a page and see it rendered as HTML next to it in real-time. We’ll make use of LiveView for the interaction and the Earmark package for rendering Markdown. The starter branch provides some styles and installs LiveView.

Rendering Markdown

Let’s set aside the LiveView portion and start with our data structures and the functions that operate on them. To begin, a Post will have a body, which holds the rendered HTML string, and title. A string of markdown can be turned into HTML by calling Post.render(post, markdown). I think that just about covers it!

First, let’s define our struct in lib/frampton/post.ex:

Now the failing test (in test/frampton/post_test.exs):

Our render method will just be a wrapper around Earmark.as_html!/2 that puts the result into the body of the post. Add {:earmark, "~> 1.4.3"} to your deps in mix.exs, run mix deps.get and fill out render function:

Our test should now pass, and we can render posts! [Note: we’re using the as_html! method, which prints error messages instead of passing them back to the user. A smarter version of this would handle any errors and show them to the user. I leave that as an exercise for the reader…] Time to play around with this in an IEx prompt (run iex -S mix in your terminal):

Great! That’s exactly what we’d expect. You can find the final code for this in the render_post branch.

LiveView Editor

Now for the fun part: Editing this live!

First, we’ll need a route for the editor to live at: /editor sounds good to me. LiveViews can be rendered from a controller, or directly in the router. We don’t have any initial state, so let's go straight from a router.

First, let's put up a minimal test. In test/frampton_web/live/editor_live_test.exs:

This test doesn’t do much yet, but notice that it isn’t live view specific. Our first render is just the same as any other controller test we’d write. The page’s content is there right from the beginning, without the need to parse JavaScript or make API calls back to the server. Nice.

To make that test pass, add a route to lib/frampton_web/router.ex. First, we import the LiveView code, then we render our Editor:

Now place a minimal EditorLive module, in lib/frampton_web/live/editor_live.ex:

And we have a passing test suite! The ~L sigil designates that LiveView should track changes to the content inside. We could keep all of our markup in this render/1 method, but let’s break it out into its own template for demonstration purposes.

Move the contents of render into lib/frampton_web/templates/editor/show.html.leex, and replace EditorLive.render/1 with this one liner: def render(assigns), do: FramptonWeb.EditorView.render("show.html", assigns). And finally, make an EditorView module in lib/frampton_web/views/editor_view.ex:

Our test should now be passing, and we’ve got a nicely separated out template, view and “live” server. We can keep markup in the template, helper functions in the view, and reactive code on the server. Now let’s move forward to actually render some posts!

Handling User Input

We’ve got four tasks to accomplish before we are done:

1. Take markdown input from the textarea
2. Send that input to the LiveServer
3. Turn that raw markdown into HTML
4. Return the rendered HTML to the page.

Event binding

To start with, we need to annotate our textarea with an event binding. This tells the liveview.js framework to forward DOM events to the server, using our liveview channel. Open up lib/frampton_web/templates/editor/show.html.leex and annotate our textarea:

<textarea phx-keyup="render_post"></textarea>

This names the event (render_post) and sends it on each keyup. Let’s crack open our web inspector and look at the web socket traffic. Using Chrome, open the developer tools, navigate to the network tab and click WS. In development you’ll see two socket connections: one is Phoenix LiveReload, which polls your filesystem and reloads pages appropriately. The second one is our LiveView connection. If you let it sit for a while, you’ll see that it's emitting a “heartbeat” call. If your server is running, you’ll see that it responds with an “ok” message. This lets LiveView clients know when they've lost connection to the server and respond appropriately.

Now, type some text and watch as it sends down each keystroke. However, you’ll also notice that the server responds with a “phx_error” message and wipes out our entered text. That's because our server doesn’t know how to handle the event yet and is throwing an error. Let's fix that next.

Event handling

We’ll catch the event in our EditorLive module. The LiveView behavior defines a handle_event/3 callback that we need to implement. Open up lib/frampton_web/live/editor_live.ex and key in a basic implementation that lets us catch events:

The first argument is the name we gave to our event in the template, the second is the data from that event, and finally the socket we’re currently talking through. Give it a try, typing in a few characters. Look at your running server and you should see a stream of events that look something like this:

There’s our keystrokes! Next, let’s pull out that value and use it to render HTML.

Rendering Markdown

Lets adjust our handle_event to pattern match out the value of the textarea:

def handle_event("render_post", %{"value" => raw}, socket) do

Now that we’ve got the raw markdown string, turning it into HTML is easy thanks to the work we did earlier in our Post module. Fill out the body of the function like this:

If you type into the textarea you should see output that looks something like this:

Perfect! Lastly, it’s time to send that rendered html back to the page.

Returning HTML to the page

In a LiveView template, we can identify bits of dynamic data that will change over time. When they change, LiveView will compare what has changed and send over a diff. In our case, the dynamic content is the post body.

Open up show.html.leex again and modify it like so:

Refresh the page and see:

Whoops!

The @post variable will only be available after we put it into the socket’s assigns. Let’s initialize it with a blank post. Open editor_live.ex and modify our mount/3 function:

In the future, we could retrieve this from some kind of storage, but for now, let's just create a new one each time the page refreshes. Finally, we need to update the Post struct with user input. Update our event handler like this:

Let's load up http://localhost:4000/editor and see it in action.

Nope, that's not quite right! Phoenix won’t render this as HTML because it’s unsafe user input. We can get around this (very good and useful) security feature by wrapping our content in a raw/1 call. We don’t have a database and user processes are isolated from each other by Elixir. The worst thing a malicious user could do would be crash their own session, which doesn’t bother me one bit.

Check the edit_posts branch for the final version.

Conclusion

That’s a good place to stop for today. We’ve accomplished a lot! We’ve got a dynamically rendering editor that takes user input, processes it and updates the page. And we haven’t written any JavaScript, which means we don’t have to maintain or update any JavaScript. Our server code is built on the rock-solid foundation of the BEAM virtual machine, giving us a great deal of confidence in its reliability and resilience.

In the next post, we’ll tackle making a shared editor, allowing multiple users to edit the same post. This project will highlight Elixir’s concurrency capabilities and demonstrate how LiveView builds on them to enable some incredible user experiences.

I get into this situation sometimes. Maybe you do too. I merge feature work into a branch used to collect features, and then continue development but on that branch instead of back on the feature branch

and have to move those commits to the feature branch they belong in and take them out of the throwaway accumulator branch

Maybe you prefer

over

Either way, that works. But it'd be nicer if we didn't have to type or even remember the branches' names and the remote's name. They are what is keeping this from being a context-independent string of commands you run any time this mistake happens. That's what we're going to solve here.

Shorthands for longevity

I like to use all possible natively supported shorthands. There are two broad motivations for that.

1. Fingers have a limited number of movements in them. Save as many as possible left late in life.
2. Current research suggests that multitasking has detrimental effects on memory. Development tends to be very heavy on multitasking. Maybe relieving some of the pressure on quick-access short term memory (like knowing all relevant branch names) add up to leave a healthier memory down the line.

First up for our scenario: the - shorthand, which refers to the previously checked out branch. There are a few places we can't use it, but it helps a lot:

We cannot use - when cherry-picking a range

and even if we could we'd still have provide the remote's name (here, origin).

That shorthand doesn't apply in the later reset --hard command, and we cannot use it in the branch -D && checkout approach either. branch -D does not support the - shorthand and once the branch is deleted checkout can't reach it with -:

So we have to remember the remote's name (we know it's origin because we are devoting memory space to knowing that this isn't one of those times it's something else), the remote tracking branch's name, the local branch's name, and we're typing those all out. No good! Let's figure out some shorthands.

@{-<n>} is hard to say but easy to fall in love with

We can do a little better by using @{-<n>} (you'll also sometimes see it referred to be the older @{-N}). It is a special construct for referring to the nth previously checked out ref.

Back in our scenario, we're on qa-environment, we switch to feature, and then want to refer to qa-environment. That's @{-1}! So instead of

We can do

Here's where we are (🎉 marks wins from -, 💥 marks the win from @{-1})

One down, two to go: we're still relying on memory for the remote's name and the remote branch's name and we're still typing both out in full. Can we replace those with generic shorthands?

@{-1} is the ref itself, not the ref's name, we can't do

because there is no branch origin/@{-1}. For the same reason, @{-1} does not give us a generalized shorthand for the scenario's later git reset --hard origin/qa-environment command.

But good news!

Do @{u} @{push}

@{upstream} or its shorthand @{u} is the remote branch a that would be pulled from if git pull were run. @{push} is the remote branch that would be pushed to if git push was run.

we can

Tacking either onto a branch name will give that branch's @{upstream} or @{push}. For example

is the branch branch-a pulls from.

In the common workflow where a branch pulls from and pushes to the same branch, @{upstream} and @{push} will be the same, leaving @{u} as preferable for its terseness. @{push} shines in triangular workflows where you pull from one remote and push to another (see the external links below).

Going back to our scenario, it means short, portable commands with a minimum human memory footprint. (🎉 marks wins from -, 💥 marks the win from @{-1}, 😎 marks the wins from @{u}.)

Make the things you repeat the easiest to do

Because these commands are generalized, we can run some series of them once, maybe

or

and then those will be in the shell history just waiting to be retrieved and run again the next time, whether with CtrlR incremental search or history substring searching bound to the up arrow or however your interactive shell is configured. Or make it an alias, or even better an abbreviation if your interactive shell supports them. Save the body wear and tear, give memory a break, and level up in Git.

And keep going

The GitHub blog has a good primer on triangular workflows and how they can polish your process of contributing to external projects.

The FreeBSD Wiki has a more in-depth article on triangular workflow process (though it doesn't know about @{push} and @{upstream}).

The construct @{-<n>} and the suffixes @{push} and @{upstream} are all part of the gitrevisions spec. Direct links to each:

• @{-<n>}
  

• @{push}
  

• @{upstream}
  

Viget is full of outdoor enthusiasts and, of course, technologists. For this year's Pointless Weekend, we brought these passions together to build TrailBuddy. This app aims to solve that eternal question: Is my favorite trail dry so I can go hike/run/ride?

While getting muddy might rekindle fond childhood memories for some, exposing your gear to the elements isn’t great – it’s bad for your equipment and can cause long-term, and potentially expensive, damage to the trail.

There are some trail apps out there but we wanted one that would focus on current conditions. Currently, our favorites trail apps, like mtbproject.com, trailrunproject.com, and hikingproject.com -- all owned by REI, rely on user-reported conditions. While this can be effective, the reports are frequently unreliable, as condition reports can become outdated in just a few days.

Our goal was to solve this problem by building an app that brought together location, soil type, and weather history data to create on-demand condition predictions for any trail in the US.

We built an initial version of TrailBuddy by tapping into several readily-available APIs, then running the combined data through a machine learning algorithm. (Oh, and also by bringing together a bunch of smart and motivated people and combining them with pizza and some of the magic that is our Pointless Weekends. We'll share the other Pointless Project, Scurry, with you soon.)

The quest for data.

We knew from the start this app would require data from a number of sources. As previously mentioned, we used REI’s APIs (i.e. https://www.hikingproject.com/data) as the source for basic trail information. We used the trails’ latitude and longitude coordinates as well as its elevation to query weather and soil type. We also found data points such as a trail’s total distance to be relevant to our app users and decided to include that on the front-end, too. Since we wanted to go beyond relying solely on user-reported metrics, which is how REI’s current MTB project works, we came up with a list of factors that could affect the trail for that day.

First on that list was weather.

We not only considered the impacts of the current forecast, but we also looked at the previous day’s forecast. For example, it’s safe to assume that if it’s currently raining or had been raining over the last several days, it would likely lead to muddy and unfavorable conditions for that trail. We utilized the DarkSky API (https://darksky.net/dev) to get the weather forecasts for that day, as well as the records for previous days. This included expected information, like temperature and precipitation chance. It also included some interesting data points that we realized may be factors, like precipitation intensity, cloud cover, and UV index. 

But weather alone can’t predict how muddy or dry a trail will be. To determine that for sure, we also wanted to use soil data to help predict how well a trail’s unique soil composition recovers after precipitation. Similar amounts of rain on trails of very different soil types could lead to vastly different trail conditions. A more clay-based soil would hold water much longer, and therefore be much more unfavorable, than loamy soil. Finding a reliable source for soil type and soil drainage proved incredibly difficult. After many hours, we finally found a source through the USDA that we could use. As a side note—the USDA keeps track of lots of data points on soil information that’s actually pretty interesting! We can’t say we’re soil experts but, we felt like we got pretty close.

Putting our design hats on.

From the very first pitch for this app, TrailBuddy’s main differentiator to peer trail resources is its ability to surface real-time information, reliably, and simply. For as complicated as the technology needed to collect and interpret information, the front-end app design needed to be clean and unencumbered.

We thought about how users would naturally look for information when setting out to find a trail and what factors they’d think about when doing so. We posed questions like:

• How easy or difficult of a trail are they looking for?
• How long is this trail?
• What does the trail look like?
• How far away is the trail in relation to my location?
• For what activity am I needing a trail for?
• Is this a trail I’d want to come back to in the future?

By putting ourselves in our users’ shoes we quickly identified key features TrailBuddy needed to have to be relevant and useful. First, we needed filtering, so users could filter between difficulty and distance to narrow down their results to fit the activity level. Next, we needed a way to look up trails by activity type—mountain biking, hiking, and running are all types of activities REI’s MTB API tracks already so those made sense as a starting point. And lastly, we needed a way for the app to find trails based on your location; or at the very least the ability to find a trail within a certain distance of your current location.

Using machine learning to predict trail conditions.

As stated earlier, none of us are actual soil or data scientists. So, in order to achieve the real-time conditions reporting TrailBuddy promised, we’d decided to leverage machine learning to make predictions for us. Digging into the utility of machine learning was a first for all of us on this team. Luckily, there was an excellent tutorial that laid out the basics of building an ML model in Python. Provided a CSV file with inputs in the left columns, and the desired output on the right, the script we generated was able to test out multiple different model strategies, and output the effectiveness of each in predicting results, shown below.

We assembled all of the historical weather and soil data we could find for a given latitude/longitude coordinate, compiled a 1000 * 100 sized CSV, ran it through the Python evaluator, and found that the CART and SVM models consistently outranked the others in terms of predicting trail status. In other words, we found a working model for which to run our data through and get (hopefully) reliable predictions from. The next step was to figure out which data fields were actually critical in predicting the trail status. The more we could refine our data set, the faster and smarter our predictive model could become.

We pulled in some Ruby code to take the original (and quite massive) CSV, and output smaller versions to test with. Now again, we’re no data scientists here but, we were able to cull out a good majority of the data and still get a model that performed at 95% accuracy.

With our trained model in hand, we could serialize that to into a model.pkl file (pkl stands for “pickle”, as in we’ve “pickled” the model), move that file into our Rails app along with it a python script to deserialize it, pass in a dynamic set of data, and generate real-time predictions. At the end of the day, our model has a propensity to predict fantastic trail conditions (about 99% of the time in fact…). Just one of those optimistic machine learning models we guess.

Where we go from here.

It was clear that after two days, our team still wanted to do more. As a first refinement, we’d love to work more with our data set and ML model. Something that was quite surprising during the weekend was that we found we could remove all but two days worth of weather data, and all of the soil data we worked so hard to dig up, and still hit 95% accuracy. Which … doesn’t make a ton of sense. Perhaps the data we chose to predict trail conditions just isn’t a great empirical predictor of trail status. While these are questions too big to solve in just a single weekend, we'd love to spend more time digging into this in a future iteration.

Our first remote office opened in 2007 when a designer and a developer left our HQ office and moved to Durham. Ever since we've been fine-tuning our ability to collaborate across locations. Today, we have team members across the country in our four offices, and we have fully remote employees in Charleston, Kansas City, New York City, Dallas, and Charlottesville.

Because of the coronavirus outbreak, a lot of people recently started working from their homes across the world, the country, and Viget. We wanted to share some of our best practices for being great teammates and doing great work, regardless of locale, and we’d love to hear yours in the comments.

Communicate Often and Write It Down

We want every person at Viget to be informed and connected. We do this in a few ways. We have a company Knowledge Base, which contains critical information including HR policies, office processes, brand guidelines, project resources, etc. We also have a well-organized Google Drive that everyone can access.

My favorite communication tool we use, however, is our Internal Lab Report. Every week, we create a Google Doc with HR updates, birthdays, upcoming events we’re attending, relevant publicity we or a client received, and timely updates on projects, sales, and recruiting. This report allows the entire team to have the same information, regardless of PTO schedules, and it provides a record that can be referenced weeks, months, or years later.

I have also found our Slack habits really helpful. We try to make our availability easily known, mostly via a passive Slack status. We each update our status daily, sometimes multiple times, so people can see if we’re working from home, out of the office for an appointment, in a meeting, or offline for a personal phone call. We also have a few Slack Channels we use very specifically to announce PTO, important announcements, and recently, one that is specific to the updating coronavirus situation.

Figure Out Your Boundaries

This looks different for everyone and can be an ever-changing target. Understanding your boundaries requires you to be honest with yourself – Are you easily distracted? Can you successfully work in pajama pants? Will your dog actually allow you to get work done? Does working from the couch result in good work, or do you need a designated work spot? For some, working from home requires setting boundaries to ensure the work gets done. For others, working from home requires setting a start and stop times to ensure you don’t overwork yourself.

Viget has a flexible work policy, so many of us work from home fairly often and have gotten our routines set up. As such, we have written about this before! Check out Trevor’s article about working remotely.

Show Your Face

When I first started at Viget, I’d never worked anywhere that used a Google Hangout for nearly every meeting. At first, I was tempted to call into meetings and leave the camera off because I found it exposing. Now, I can’t imagine not using it, and I’ve even embraced it in my personal life with friends and family. I realized the value in face-to-face conversations even in virtual form, the ability to see body language, and the connection you establish when you see each other's faces — even if your hair isn't perfect or you haven't arranged your plants just-so in the view behind you. Whenever possible, use your camera during a meeting. It increases trust, communication, and in my personal-not-backed-by-science-opinion, lightness, which frankly, I think we can all use a bit more of right now.

Create Shared Experiences

As a company with project teams often distributed across our four locations, cross-office experiences are vital to our culture, and we’ve spent years working to keep our remote offices in sync. A few of our ongoing group activities include a monthly virtual Book Club, our weekly full-team Free Lunch Friday tradition, Donut for Slack, and, of course, our Pointless Weekends.

The current global health crisis now requires almost all of the company to work remote, so we’ve gotten creative with our attempts to increase non-project time together, in order to keep up the vibes we’ve worked hard to create.

What we’ve recently started:

• Last Weekend this Morning - Monday mornings, we have an optional virtual coffee, where anyone who’d like to chat can join and share the latest gardening lesson or bingeable tv show. It lets us start our week off as we would when we’re all in the office — saying hello to each other.
• Virtual Happy Hours - We are a company that likes to socialize, and a bit of distance doesn’t stop us. This week, we set up an after-hours Happy Hour for St. Patrick’s Day.
• Daily Lunch Table- If you’ve ever visited our HQ office in Falls Church, you’ll notice our large kitchen table. We have an informal tradition of gathering around noon to eat together, whether it’s just a couple folks or the whole team. We now do this lunch virtually. So far, we’re mostly taking turns discussing who is eating what, and of course, sharing said recipes.

I crowdsourced some ideas from the Viget team, and here are some noteworthy takeaways:

"In remote meetings, minimize all your other windows and be fully present. It’s easy to allow your attention to accidentally drift if you see a new Slack channel light up, especially if you’re in a larger meeting. Suddenly, you find yourself multitasking. Treat the meeting as if you were there in person: unless you’re taking notes, minimize your other tabs, and give the conversation your full attention."
- Paul Koch

“I try to reach out to more folks I don’t consistently work with. Since there’s less interaction in general, I want to be more intentional about staying connected.”
- Laura Sweltz

“Good habits are hard to form and bad habits are hard to break, and it’s often hard to find the right time to make a change. Most of us are experiencing a disruption to our usual behaviors right now, but that doesn’t have to be entirely bad. Be deliberate now and when this is over, we might all end up with some new work habits worth keeping.”
- Emily Bloom

“I’ve found it helpful to create a physical space similar to the one I had at work. While this isn’t exactly possible, small things like setting up a laptop stand and second screen make it so I’m less likely to get distracted and wander to the couch or kitchen (aka the snack danger zone.).”
- Aubrey Lear

“It’s easy to get stuck in one spot all day, so be proactive about moving around, or creating excuses to do so. Whether that’s making yourself a cup of coffee, eating lunch away from your computer, or going for a quick walk outside for some fresh air. This will help reduce the risk of going stir crazy.”
-Zach Robbins

True to Viget form, our remote work is all about “Progress, Not Perfection.” While remote collaboration is ingrained in our company, we’re looking for opportunities to fine-tune our approach and improve our habits.

We’d love to hear from you: What are your best practices? Lessons learned?

Though I usually enjoy working from Viget’s lovely Boulder office, during quarantine I am now working from home while simultaneously parenting my 3-year-old daughter Audrey. My husband works in healthcare and though he is not on the front lines battling COVID-19, he is still an essential worker and as such leaves our home to work every day.

Some working/parenting days are great! I somehow get my tasks accomplished, my kid is happy, and we spend some quality time together.

And some days are awful. I have to ignore my daughter having a meltdown and try to focus on meetings, and I wish I wasn’t in this situation at all. Most days are somewhere in the middle; I’m just doing my best to get by.

I’ve seen enough working parent memes and cries for help on social media to know that I’m not alone. There are many parents out there who now get to experience the stress and anxiety of living through a global pandemic while simultaneously navigating ways to stay productive while working from home and being an effective parent. Fun isn’t it?

I’m not an expert on the matter, but I have found a few small things that are making me feel a bit more sane. I hope sharing them will make someone else’s life easier too.

Truths to Accept

First, let’s acknowledge some truths about this new situation we find ourselves in:

Truth 1: We’ve lost something.

Parents have lost more than daycare and schools during this epidemic. We’ve lost any time that we had for ourselves, and that was really valuable. We no longer have small moments in the day to catch up on our personal lives. I no longer have a commute to separate my work duties from my mom duties, or catch up with my friends, or just be quiet.

Truth 2: We’re human.

The reason you can’t be a great employee and a great parent and a great friend and a great partner or spouse all day every day isn’t because you’re doing a bad job, it’s because being constantly wonderful in all aspects of your life is impossible. Pick one or two of those things a day to focus on.

Truth 3: We’re all doing our best.

This is the most important part of this article. Be kind to yourselves. This isn’t easy, and putting so much pressure on yourself that you break isn’t going to make it any easier.

Work from Home Goals

Now that we’ve accepted some truths about our current situation, let’s set some goals.

Goal 1: Do Good Work

At Viget, and wherever you work, with kids or without we all want to make sure that the quality of our work stays up throughout the pandemic and that we can continue to be reliable team members and employees to the best of our abilities.

Goal 2: Stay Sane

We need to figure out ways to do this without sacrificing ourselves entirely. For me, this means fitting my work into normal work hours as much as possible so that I can still have some downtime in the evenings.

Goal 3: Make This Sustainable

None of us knows how long this will last but we may as well begin mentally preparing for a long haul.

Work from Home Rules

Now, there are some great Work from Home Rules that apply to everyone with or without kids. My coworker Paul Koch shared these with the Viget team a Jeremy Bearimy ago and I agree this is also the foundation for working from home with kids.

1. When you’re in a remote meeting, minimize other windows to stay focused
2. Set a schedule and avoid chores*
3. Take breaks away from the screen
4. Plan your workday on the calendar+
5. Be mindful of Slack and social media as a distraction
6. Use timers+
7. Keep your work area separate from where you relax
8. Pretend that you’re still WFW
9. Experiment and figure out what works for you

In the improv spirit I say “Yes, AND….” to these tips. And so, here are my adjusted rules for WFH while kiddos around: These have both been really solid tools for me, so let’s dig in.

Day Planning: Calendars and Timers

A few small tweaks and adjustments make this even more doable for me and my 3-year-old. First- I don’t avoid chores entirely. If I’m going up and down the stairs all day anyway I might as well throw in a load of laundry while I’m at it. The more I can get done during the day means a greater chance of some down time in the evening.

Each morning I plan my day and Audrey’s day:

When we make the schedule together it also helps me understand her favorite parts of the day and reminds me to include them.

Once our days are planned, I also use timers to help keep the structure of the day. (I bought a great alarm clock for kids on Amazon that turns colors to signal bedtime and quiet time. It’s been hugely worth it for me.)

Work from Home Rules: Updated for Parents

Finally, I have a few more Work from Home Rules for parents to add to the list:

1. Minimize other windows in remote meetings
2. Set a schedule and fit in some chores if time allows
3. Take breaks away from the screen
4. Schedule both your and your kids’ days
5. Be mindful of Slack and social media as a distraction
6. Use timers to track your own time and help your kids understand the day
7. Keep your work area separate from where you relax
8. Pretend that you’re still WFW
9. Experiment and figure out what works for you
10. Be prepared with a few activities
    • Each morning, have just ONE thing ready to go. This can be a worksheet you printed out, a coloring station setup, a new bag of kinetic sand you just got delivered from Amazon, a kids dance video on YouTube or an iPad game. Recently I started enlisting my mom to read stories on Facetime. The activity doesn’t have to be new each day but (especially for young kids) it has to be handy for you to start up quickly if your schedule changes
11. Clearly communicate your availability with your team and project PMs
    • Life happens. Some days are going to be hard. Whatever you do, don’t burn yourself out or leave your team hanging. If you need to move a meeting or take a day off, communicate that as early and as clearly as you can.
12. Take PTO if you can
    • None of us are superheroes. If you’re feeling overwhelmed- take a look at the next few days and figure out which one makes the most sense for you to take a break.
13. Take breaks to be alone without doing a task
    • Work and family responsibilities have blended together, there’s almost no room for being alone. If you can find some precious alone time don’t use it to fold laundry or clean the bathroom. Just zone out. I think we all really need this.

Last but not least, enjoy your time at home if you can. This is an unusual circumstance and even though it’s really hard, there are parts that are really great too.

If you have some great WFH tips we’d love to hear about them in the comments!

So you’ve just written a blog post or tweet about why wireframes are becoming obsolete, the dangers of “too accessible” design, or how a certain style of icon creates “cognitive fatigue.”

Your post went viral, but now you’re getting ratioed by rude people on the Internet. That sucks! You were just trying to start a conversation and you probably didn’t deserve all that negativity (except for you, “too accessible” guy).

Most likely, you made one of these common mistakes:

1. You made generalizations about “design”

You, a good user-centered designer, know that you are not your user. Nor are you every designer.

First of all, let's acknowledge that there is no universal definition of design. Even if we narrow it down to software design, it’s still hard to make generalizations. Agency, in-house, product, startup, enterprise, non-profit, website, app, connected hardware, etc. – there are a lot of different work contexts and cultures for people with “designer” in their titles.

"The Design Industry" is not a thing, but even if it were, you don't speak for it. Don’t assume that the kind of design work you do is the universal default.

2. You didn’t share enough context

There are many great design books and few great design blog posts. (There are, to my knowledge, no great design tweets, but I am open to your suggestions.) Writing about design is not well suited to short formats, because context plays such an important role and there’s always a lot of it to cover.

Writing about your work should include as much context as you would include if you were presenting your portfolio for a job interview. What kind of organization did you work for? Who was your client and/or your stakeholders? What was the goal of the project? Your timeline? What was the makeup of your team? What were the notable business rules and constraints? How are you defining effectiveness and success?

Without these kinds of details, it’s not possible for other designers to know if what you’ve written is credible or applicable to them.

3. You were too certain

A blog post doesn’t need to be a dissertation. It’s okay to share hunches and anecdotes, but give the necessary caveats. And if you're making claims about science, bruh, you gotta cite your sources.

Be humble in your takes. Your account of what worked for you and why is more valuable to your peers than making sweeping claims and reheating the same old arguments. Be prepared to be told you’re wrong, and have the humility to realize that your perspective is just your perspective. Real conversations, like good design, are built on feedback and diverse viewpoints.

—

Together, we can improve the discourse in our information ecosystems. Don't generalize. Give context. Be humble.

During the winter 2020 Pointless Weekend, we built TrailBuddy (working app coming soon). Our team consisted of four developers, two project managers, two front-end developers, a digital-analyst, a UXer, and a designer. In about 48 hours, we took an idea from Jeremy Field’s head to a (mostly) working app. We broke up the project in two parts:. First, a back-end that crunches trail, weather, and soil data. That data is exposed via a GraphQL API for a web app to consume.

While developers built the API, I built a static front end using Next.js. Famously, static front-ends don’t have a database, or a concept of “users.” A bit of functionality I wanted to add was saving favorite trails. I didn’t want to be hacky about it, I needed some way to add users and a database. I knew it’d be hard for the developers to set this up as part of the API, they had their hands full with all the #soil-soil-soil-soil-soil (a slack channel dedicated solely to figuring out our soil data problem—those were plentiful.) I had been looking for an excuse to use Userbase, and this seemed like as good a time as any.

A textbook Userbase use case

“When would I use it?” The Usebase site lists these reasons:

• If you want to build a web app without writing any backend code.
• If you never want to see your users' data.
• If you're tired of dealing with databases.
• If you want to radically simplify your GDPR compliance.
• And if you want to keep things really simple.

This was a perfect fit for my problem. I didn’t want to write any more backend code for this. I didn’t want to see our user’s data, I don’t care to know anyone’s favorite trails.* A nice bonus to not having users in our backend was not having to worry about keeping their data safe. We don’t have their data at all, it’s end-to-end encrypted by Userbase. We can offer a reasonable amount of privacy for free (well for the price of using Userbase: $49 a year.) I am not tired of dealing with databases, but I’d rather not. I don’t think anyone doesn’t want to simplify their GDPR compliance. Finally, given our tight timeline I wanted nothing more than to keep things really simple.

Using Userbase

Userbase can be tried for free, so I set aside thirty minutes or so to do a quick proof of concept to make sure this would work out for us. I made an account and followed their Quickstart. Userbase is a fundamentally easy tool to use, but their quickstart is everything I’d want out of a quickstart:

• Written in the most vanilla way possible (just HTML and vanilla JS). This means I can adapt it to my needs, in this case React using Next.js
• Easy to follow, it does the most barebones tour of the functionality you can expect to get out of the SDK (software development kit.) In other words it is quick and it is a start
• It has a live demo and code samples you can download and run yourself

It didn’t take long after that to integrate Userbase into our app with more help from their great docs. I debated whether to add code samples of what we did here, and I didn’t because any reader would be better off using the great quickstart and docs Userbase provides—they are that clear, and that good. Depending on your use case you’ll need to adapt the examples to your needs, for us the trickiest things were creating a top level authentication context to manage users in the app, and a custom hook to encapsulate all the logic for setting, updating, and deleting favourite trails in the app. Userbase’s SDK worked seamlessly for us.

Is Userbase for you?

Maybe. I am definitely a fan, so much so that this blog post probably reads like an advert. Userbase saved me a ton of time in this project. It reminded me of “The All Powerful Front End Developer” talk by Chris Coyer. I don’t fully subscribe to all the ideas in that talk, but it is nice to have “serverless” tools like Userbase, and all the new JAMstacky things. There are limits to the Userbase serverless experience in terms of scale, and control. Obviously relying on a third party for something always carries some (probably small) risk—it’s worth noting Usebase includes a note on their pricing page that says “You can host it yourself always under your control, or we can run it for you for a full serverless experience”—Still, I wouldn’t hesitate this to use in future projects.

One of the great things about Viget and Pointless Weekend is the opportunity to try new things. For me that was Next.js and Userbase for Trailbuddy. It doesn’t always work out (in fact this is my first pointless weekend where a risk hasn’t blown up in my face) but it is always fun. Getting to try out Userbase and beginning to think about how we may use it in the future made the weekend worthwhile for me, and it made my job on this project much more enjoyable.

*I will write a future post about privacy conscious analytics in TrailBuddy when I’ve figured that out. I am looking into Fathom Analytics for that.

Setting it up

First, here's the config setup you need to even allow for such a radical concept.

1. Define the global gitignore file as a global Git configuration:

   git config --global core.excludesfile ~/.gitignore
   

   If you're on OSX, this command will add the following config lines in your ~/.gitconfig file.

   [core]
     excludesfile = /Users/triplegirldad/.gitignore
   

2. Load that ~/.gitignore file up with whatever you want. It probably doesn't exist as a file yet so you might have to create it first.

Harnessing its incredible power

There are only two lines in my global gitignore file and they are both fairly useful pretty much all the time.

$ cat ~/.gitignore
TODO.md
playground

This 2 line file means that no matter where I am, what project I'm working on, where in the project I'm doing so, I have an easy space to stash notes, thoughts, in progress ideas, spikes, etc.

TODO.md

More often than not, I'm fiddling around with a TODO.md file. Something about writing markdown in your familiar text editor speaks to my soul. It's quick, it's easy, you have all the text editing tricks available to you, and it never does anything you wouldn't expect (looking at you auto-markdown-formatting editors). I use one or two # for headings, I use nested lists, and I ask for nothing more. Nothing more than more TODO.md files that is!

In practice I tend to just have one TODO.md file per project, right at the top, ready to pull up in a few keystrokes. Which I do often. I pull this doc up if:

• I'm in a meeting and I just said "oh yeah that's a small thing, I'll knock it out this afternoon".
• I'm halfway through some feature development and realize I want to make a sweeping refactor elsewhere. Toss some thoughts in the doc, and then get back to the task at hand.
• It's the end of the day and I have to switch my brain into "feed small children" mode, thus obliterating everything work-related from my short term memory. When I open things up the next day and know exactly what the next thing to dive into was.
• I'm preparing for a big enough refactor and I can't hold it all in my brain at once. What I'd give to have an interactive 3D playground for brain thoughts, but in the meantime a 2D text file isn't a terrible way to plan out dev work.

playground

Sometimes you need more than some human words in a markdown file to move an idea along. This is where my playground directory comes in. I can load this directory up with code that's related to a given project and keep it out of the git history. Because who doesn't like a place to play around.

I find that this directory is more useful for long running maintenance projects over fast moving greenfield ones. On the maintenance projects, I tend to find myself assembling a pile of scripts and experiments for various situations:

• The client requests a one-time obscure data export. Whip up some CSV generation code and save that code in the playground directory.
• The client requests a different obscure data export. Pull up the last time you did something vaguely similar and save yourself the startup time.
• A batch of data needs to be imported just once. Might as well stash that in the chance that "just once" is actually "just a few times".
• Kicking the tires on an integration with a third party service.

Some of these playground files end up being useful more times than I can count (eg: the ever-changing user_export.rb script). Some items get promoted into application code, which is always fun. But most files here serve their purpose and then wither away. And that's fine. It's a playground, anything goes.

Wrapping up

Having a personal space for project-specific notes and code has been helpful to me over the years as a developer on multiple projects. If you have your own organizational trick, or just want to brag about how you memorize everything without any markdown files, let me know in the comments below!