Dead ends are the costliest thing your AI agents keep relearning
Asly97 · reddit · 2026-10-18
A developer shares how their research agent kept retrying scraping approaches that had already failed on earlier runs. The fix: log dead ends into a memory file the agent reads first, so failed attempts persist across sessions. The author discloses they run Vilix AI, which they now use for this.
More from coding & agent
- Proof Before Reuse: 0/30 poison exposure vs naive agent memory — maa____z · 2026-10-19
- Pi harness nearly matches DeepSeek's own at 42.2 vs 42.5 on Bug Hunt Bench, at half the cost — PawelHuryn · 2026-10-19
- Dev ships netplay in unplanned game after 3-4 days of grilling frontier models on the spec — banteg · 2026-10-19
- kimo: open-source MCP video editor your coding agent can drive — LieTop7965 · 2026-10-19
- DeepLearning.AI launches browser-based agentic coding lab in free on-device memory course — DeepLearningAI · 2026-10-19
- Anthropic's daily merges jumped from 2,500 to 30,000, so it built its own Git replacement called Scion — Pavan_Belagatti · 2026-10-19