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How to find and remove dead CSS

People hate maintaining CSS for lots of reasons, but figuring out if it's safe to delete old styles is a vexing problem without any great solutions. Here's one way to do it by using, of all things, code coverage!
Justin Searls
|
June 3, 2021
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Do you have a pile of old CSS styles that you’re pretty sure are no longer referenced anywhere, but that you’re nevertheless afraid to delete because you have no way to be sure that no musty corners of your site somehow depend on them to render correctly?

I’ve been saying for years that the most valuable uses for code coverage have nothing to do with testing, and today I was happy to add another great use case: gaining confidence over which styles are actually safe to delete. The approach in this screencast shows a way to record and combine the code coverage results for our site’s CSS across each web page.

Other automated approaches for identifying dead styles exist, but modern CSS has introduced so many context-dependent selectors (e.g. media queries and pseudo-elements) that nothing can beat recording coverage while manually resizing and clicking around your custom components like only you know how.

Stuff covered in this video:

  • How we use our static-rails gem to host our static blog & website inside a Rails API monorepo
  • CSS Tricks' overview on this topic
  • A tutorial on Chrome’s DevTools Coverage drawer
  • The DisCoverage Chrome extension for munging multiple coverage exports

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Horizontal Progression for Software

More capable AI doesn't automatically make better software. A longtime WoW player explores what horizontal progression could teach us about building products people love.

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AI tooling may have solved coding, but not solutions delivery

AI made writing code faster, and software delivery didn't speed up to match. The Theory of Constraints predicted exactly this outcome forty years ago, and it also tells you what to do about it: measure your own end-to-end flow before you name the constraint or buy the tooling.

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Defend your downtime to improve agentic output

With agentic tools writing code, it feels natural to fill the waiting time by reaching for the next task. Before you do, though, have you considered what you might be losing by trying to parallelize more work? River Bailey digs into the question to understand why we should protect that downtime instead of filling it with more activity.

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