Harrison Chase to demo agents that catch their own mistakes and write the eval and fix
LangChain · x · 2026-10-28
LangChain teased Harrison Chase's Interrupt London session on building agents that improve over time — specifically agents that catch their own mistakes and then write both the eval and the fix themselves.
More from coding & agent
- Judgment Labs launches publicly: monitoring and eval layer for long-horizon agents — testingcatalog · 2026-10-28
- OSU NLP Group Wins Three Paper Awards Same Day at EMNLP 2026 and NeurIPS Workshop — hhsun1 · 2026-10-28
- Replit launches Cloud Agents: non-engineers ship reviewed PRs from natural language — Jeff_Burke14 · 2026-10-28
- Sequoia and OpenAI host $100K poker bot tournament where agents build bots in 60 minutes — polynoamial · 2026-10-28
- PPCC26 demos praised: real orgs like NFL, real code live in VS Code, no fake companies — donasarkar · 2026-10-28
- Five principles for curating LLM agent evals: diverse, realistic, hard, discriminative, high-quality — cwolferesearch · 2026-10-28