Putting GA4 where the work happens: an in-browser analytics overlay and its MCP bridge
Content teams shouldn't have to leave the page to learn how it performs, and neither should AI agents.
Content teams shouldn't have to leave the page to learn how it performs, and neither should AI agents.
Cultivating LLM productivity requires comfort with the vernacular of code, not the writing of it.
EmDash doesn't need to win to matter, and Drupal's quiet modernization work means it doesn't either.
Tips on where the shared approach doesn't share, and plugin.json gotchas that break Claude Code silently.
Domain-driven design, content architecture, and AI context engineering each solved the same shared-understanding problem; LLMs are finally dissolving the boundary that kept them apart.
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.
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