LangSmith Engine: Accelerate the Agent Development Lifecycle

LangChain · Beginner ·🤖 AI Agents & Automation ·3h ago
Until now, improving your agent has been a manual process of reading traces, looking for patterns, writing evals, and creating fixes. Now LangSmith Engine can run that loop for you. It watches your production traces, clusters failures into named issues, diagnoses root causes against your code, and proposes fixes and eval coverage to keep regressions from coming back. You just review and merge improvements. The agent improvement loop has been manual for too long, and we're working toward a future where more of it runs continuously without manual triggers, where well-understood issue types resolve without human review, and where the harness gets smarter about your specific agent over time. LangSmith Engine is the first step. Resources: Blog: https://www.langchain.com/blog/introducing-engine LangSmith: https://www.langchain.com/langsmith-platform LangChain: https://www.langchain.com/ https://youtu.be/L4pDS1uHl9o
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