I'm building an app for Réunion: the real price of fruit and veg already exists, public, stuck in PDFs nobody reads. Ti Cok sets it free — what's cheap, when, and where. The build, and why I challenge the idea before believing it.
Three frontier models, 72 group-stage matches, predictions frozen before kickoff, and a leaderboard that updates itself. A benchmark dressed up as a game — and the perfect excuse to ship a quick mini-app on GitHub Pages.
The Astro team ships "The Agent Harness Framework." Flue takes the harness from the previous article and turns it into a real framework. I ported our profile-analysis agent to it to see.
An LLM predicts text; an agent runs tasks. In between sits the harness. I set out to understand it, and realized my mental pattern already described the Claude Agent SDK.
The dev job is shifting from typing to steering: orchestrating agents, writing the spec, guaranteeing that what ships is what was expected. What changes when you stop coding to produce, and start coding to validate.
An AI agent ships «average» code by default: 300-line files, any everywhere, logic in the JSX. Here are the 10 rules I wrote for VoiceJournal, and why they hold.
You talk for 30 seconds. Whisper transcribes, Claude writes your journal, gives you a Mind Score and tags your emotions. Here's how it's built and why I did it.