New COLM Workshop Paper Measures and Reduces Slop in Long-Horizon Coding Agents
dan_fried · x · 2026-10-09
A study to be presented at the COLM Workshop on Agent Behavior (October 9) tackles how to measure and reduce AI slop and spaghetti code produced by long-horizon coding agents, with a thread detailing the approach linked in the post.
More from coding & agent
- Designer spends a full day building a custom design tool with Claude to replace limiting Figma — oykun · 2026-10-10
- Coinbase CEO Brian Armstrong Ships Keyboard Shortcuts to Production Using AI Dev Tools — kleffew94 · 2026-10-10
- Open-EmbeddingGemma: pure PyTorch reimplementation of Google's 740M multimodal embedding model — KyeGomezB · 2026-10-10
- LLM Wiki, an open-source RAG alternative, hits 20.4k GitHub stars — tom_doerr · 2026-10-10
- Comma launches as an open-source 24/7 personal AI agent with no session limits — HeyToha · 2026-10-10
- Every ships a month of work in one week with AI and asks: what if we could publish 100 apps a week? — danshipper · 2026-10-10