
Four gears of AI-assisted development: from coding to context
Developers are moving from copy-paste to orchestration. Each gear shifts what the human actually contributes.

Developers are moving from copy-paste to orchestration. Each gear shifts what the human actually contributes.
The skeleton loading problem is a contract problem in disguise; explicit content schemas dissolve it.

AI knows the world in general but not your domain; the engineers who get real results were always doing the context work.
Matteo Collina splits software engineering into three tiers (tech firms, enterprises, small businesses), and in each the bottleneck shifts from building code to holding context.
AI-generated code is outpacing human understanding, and teams need to self-govern before someone else does.

The technology works, the design looks good, but content can't get to the reader — because nobody agreed on what a card is.
The static site generator I've backed for years just got its future sorted.
Benj Edwards burned through 50 projects in two months with AI coding agents and I know the feeling.

Every post needs a hero image. Sometimes you don't need the perfect one — you just need something that doesn't clash.

Vector embeddings at build time, cosine similarity in the browser. The same 23 MB model runs both sides.

No API keys, no external service — just a build step and one HTML attribute.

Pin comments on any live webpage and share them as a URL with no account and zero cost. As in free.
Sometimes stepping back to understand your audience matters more than shipping the next feature.

A Cloudflare Worker is just a CGI script, and that's exactly what a static site needs.

The floating palettes and window chrome of late-90s Mac OS may suit single-purpose browser utilities better than today's minimal UI.
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