"Self-maintaining" is a seductive phrase, so let's be honest about it up front. You're not going to walk away for a month and come back to a repo that grew new features on its own. What you can build is a loop where Claude does most of the mechanical work — turning issues into pull requests (PRs) — and a separate Claude pass reviews that work before it ever reaches you. You stay the final gate, but you review a clean, already-critiqued PR instead of a blank diff.
You add a <script> tag, the page runs your code. Underneath that one line the browser does a surprising amount of work: it decides when to run the script, fetches every file it depends on, figures out what each file is asking for, keeps every loaded module in memory so it runs exactly once, and evaluates them all in the right order. This is a tour of that machinery.
React Native runs the same React you already know — the components, hooks, and data layer come with you. This is a deep dive into the other part: the mobile-specific tools, application programming interfaces (APIs), and constraints, each mapped from the web equivalent you already reach for.
Every web developer knows the anxiety: a new framework trends on social media, a hot take declares your stack obsolete, and you wonder if you've fallen behind. The truth is that the web platform moves on a much slower, much more predictable clock than the discourse suggests — and the roadmap is public. You just have to know where it's published.
This post maps the sources that actually predict where the platform is going: standards bodies, browser vendor programs, runtime release schedules, ecosystem RFCs (request-for-comments proposals), surveys, and events. At the end there's a practical system for consuming all of it without burning out.
JavaScript had no built-in module system for most of its life, so the community invented one pattern after another to fill the gap. This is a chronological tour of how we got from global <script> tags to native ES Modules — and why each step happened.
Most of accessibility's real-world payoff comes from a handful of habits. This is the 20% of web accessibility work that delivers 80% of the results — the practices worth doing first.
Claude Code can be customized along a spectrum: at one end, plain-language instructions you hope the model follows; at the other, hooks and settings the harness enforces whether the model cooperates or not. This post maps that full surface and shows how to actually wire it up on a real project.
Marketing metrics answer the demand question: how do people find the product, what does it cost to bring them in, and are they worth more than they cost? SEO is the part of that question a frontend team is genuinely on the hook for — a chunk of it is frontend work — so it makes a natural bridge from performance metrics to growth ones. Here's the set, from the markup you own to the economics of a customer.
Product metrics answer a different question from "is the frontend fast?" — they ask whether the product delivers value: do people show up, do they reach the aha moment, do they come back, and do they stick around. Almost all of it is measured in the browser by frontend event tracking, but the numbers describe the product, not the frontend's health. Here's the set that actually changes decisions.
Most people install Claude Code, talk to it like a chatbot, and stop there. The difference between that and a genuine force multiplier is a small amount of configuration: a file that tells it your conventions, a couple of hooks that enforce quality automatically, and one skill that encodes a workflow you'd otherwise re-type every day.