LangChain's Harrison Chase ships a skill for building agent evals iteratively
hwchase17 · x · 2026-08-25
LangChain founder Harrison Chase shares his thinking on the easiest way to create agent evals and announces a new skill to support this iterative process. The accompanying article, "How we Build Agent Environments & Tasks," is a practical guide to creating synthetic agent environments and tasks, resulting in a two-step pipeline that builds from traces, code, and/or human input first, then iterates.
Related event: LangChain Open-Sources Eval-Engineering Skill for Agent Evaluation(3 posts)→
More from coding & agent
- Agent Tether: Mining Personalized Content with Preference Data — tokenbender · 2026-08-25
- Alibaba treats agent context management as a programming problem — omarsar0 · 2026-08-25
- Skywork 360 pipeline ported to ComfyUI with a custom drone path editor — mickmumpitz · 2026-08-25
- gemini-cli patches SSRF flaw in MCP OAuth metadata discovery flows — josebalius · 2026-08-25
- TrueForge cuts costs via context engineering and on-demand tools — kimmonismus · 2026-08-25
- TrueForge enables local deployment and multi-vendor model support — kimmonismus · 2026-08-25