yeah, what they said 🤝 a decent harness gets you an actually functioning agent now + teams that actually invest time in their harness+probl…

yeah, what they said 🤝 a decent harness gets you an actually functioning agent now + teams that actually invest time in their harness+problem design, choosing good infra, self-improvement loops, data collection cook even harder 🚀 The founder of LangChain says both models and harnesses have gotten really good between December and now. According to @hwchase17, the core idea of an agent before Christmas was a model running in a loop and calling tools. This had been the north star for 3 years. - langchain had…

Data Driven Agent Design with Evals & Hill Climbing Algorithms this is a mental model dump i’ve been thinking through + iterating on as we’r…
tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheate…
Self-improving agents isn’t a single algorithm - it’s a systems engineering problem involving: - eval data curation + maintenance - experime…
Harness Engineering Derived from what Models can’t do alone: It feels like a good time to step back and reshare some basic mental models for…
here's how we're improving our base harness, you can apply these same lessons to hill-climbing for your application-specific harness!
Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…

Source: Harrison Chase (X) | 2026-04-17

Related