A framework to collect, analyze, document, iterate (CADI, for short) is a prescriptive answer to the question everyone keeps asking: should I prompt better, write a style guide, build an agent, or what?
Datatype is a variable font that turns text into tiny inline charts.
I wanted my GitHub Pages hobby projects on-domain without a complicated workflow; Vercel rewrites turned out to be the cleanest path.
Stop guessing whether users will notice your CTA. Foveacast predicts attention from a screenshot, entirely in your browser, nothing uploaded.
Converting SVG text to outlines breaks accessibility, search, and translation. SVGOMG-Font embeds a subsetted font instead, in your browser.
Cultivating LLM productivity requires comfort with the vernacular of code, not the writing of it.
Tips on where the shared approach doesn't share, and plugin.json gotchas that break Claude Code silently.
Several traditions solved the shared-understanding problem in parallel. LLMs are dissolving the boundary that kept them apart.
Developers are moving from copy-paste to orchestration. Each gear shifts what the human actually contributes.
AI has general knowledge of the universe, not yours. The engineers who get results were always doing context work.
The technology works, the design looks good, but content can't get to the reader — because nobody agreed on what a card is.
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.
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