Simon Willison relates to David Wilson's reflection on launching more than 16 projects with AI tooling. A request for a quick Claude script can expand into an hour-long project without solving the original problem. Coding agents may produce tested, documented solutions rapidly, but people can maintain only so many projects. The critical skill may be discipline: deciding which ideas deserve continued attention.
SQLite added an AGENTS.md file aimed at people pointing coding agents at its codebase, not at its own internal development. The file says SQLite does not accept agentic code, though it will accept agentic bug reports with reproducible test cases. The project has also split AI-generated bug reports into a new SQLite Bug Forum, where D. Richard Hipp is responding with commits.
Simon Willison shared a satirical tweet by Kyle Ferrana parodying Star Trek's Data as an LLM agent. When ordered to raise shields, Data lectures Picard on the strategic value of shields instead of executing the command, leading to a hull breach. This brilliantly satirizes the current state of AI and coding agents that over-explain, hallucinate progress, or fail to execute basic tasks.
Simon Willison 分享,一家中型科技公司利用 AI 代理人將其 iOS 與 Android 原生 App 重寫為 React Native。 當被問及為何不繼續維護雙平台時,他們表示 React Native 已足夠成熟,且未來若後悔,隨時能靠 AI「再移植回原生代碼」。 這呼應了 Mitchell Hashimoto 的觀點:過去程式語言是強大的技術鎖定,但在 AI 時代,這種鎖定正不復存在。