Don't ship 10x more features with AI — spend the surplus understanding users, engineer argues
trq212 · x · 2026-09-23
A counter-narrative to the AI feature arms race: the right way to use rising model capability is not to ship 10x more features to production, but to reinvest the time in understanding users, running experiments, building prototypes, and learning what you don't know — so you ship things that actually work.
The core argument: AI coding leverage should compound into better judgment about what to build, not just more output.
More from coding & agent
- Rivet launches SQLite Forking: 20ms agent-thread forks with zero data copying — samgoodwin89 · 2026-11-11
- YouArt Desktop launches: AI agent edits video in CapCut, DaVinci and Premiere from client feedback — mhdfaran · 2026-11-11
- Boubou: one-command local voice AI that serves your phone and robots over Wi-Fi — LuozhuZhang · 2026-11-11
- Python 3.15 makes AttributeError actionable: suggests .append for .push mix-ups — KhuyenTran16 · 2026-11-11
- sentence-transformers maintainer releases new embedding pooling training method, code & checkpoints — tomaarsen · 2026-11-11
- droid-mcp turns your Android phone into an MCP server with 160+ tools for Claude Code — zvone1122 · 2026-11-11