How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x
Factory uses Self-hosted LangSmith to automate feedback loops, boosting iteration speed by 2x and improving observability and security, while ensuring precise tracking of LLM workflows. The platform enables efficient prompt optimization and contextual accuracy, reducing manual effort and code churn. By integrating LangChain, Factory enhances AI capabilities across the SDLC, leading to significant improvements in engineering operations and client performance gains.
More from Langchain
Why managed agents are the next big thing in agent building
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.
langchain.com··Mads Kristian Nylund·AI InfrastructureAI-agents
LangSmith BYOC on AWS is generally available
LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI Platforms
What is an AI agent?
Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
langchain.com··Mads Kristian Nylund·AI DevelopmentAI InfrastructureAI-agents