AI

Google released an AI “skill” at Google I/O last month called Modern Web Guidance. It’s essentially a folder of nested Markdown files that AI agents know how to read and use as part of their context window when they deem appropriate. This skill has a bunch of HTML/CSS/JavaScript information that guides AI to, hopefully, do […]

The job is creating dependable applications in production. Not just “a developer who uses LLMs”, but an engineer in a constant evaluation and improvement loop.

While AI for codegen is manageable, integrating AI into team workflows presents more challenges, such as maintaining quality long term and managing technical debt.

Let’s acknowledge that gap in AI-generated code between code that works and code that is production-ready. It’s you.

It doesn’t mean you can’t get AI to help with accessible code, you’ve just got to know what you’re doing.

Just two short long years ago, I wrote an article here called Document Collaboration (with Comments!). As a long-time blogger who helps others with their articles too, I’ve played with lots of tools to help with this flow. I put some options in that post, but none are perfect. The big names come with baggage […]

From Nicholas C. Zakas’s regularly interesting newsletter: The best way to work with legacy code is to approach it patiently—understand small parts, write tests, and document what you learn. My favorite line about legacy code, which I’ve probably shared too much, is when David Khourshid called it “Legendary Code”. Legacy code feels a smidge mean […]

Some solid advice from a couple of Frontend Masters courses made for a fast, secure, and ready to scale deployment system.

The more effort you put in to what you put in, the higher quality you’re going to get out.

Senior engineers actually have a massive advantage with AI tools once they learn the basics. They know what questions to ask. They understand edge cases. A junior dev accepts the first output. A senior dev knows what’s missing.