Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

The discussion centers on the evolution and future of long-horizon agents, particularly the shift from simple scaffolding to more sophisticated agent harnesses. It highlights the importance of context engineering, compaction strategies, and the use of file systems in enhancing agent performance. Coding is identified as a domain where long-horizon agents are demonstrating significant progress, with examples like AISREs and customer support applications showcasing their potential in generating first drafts and automating complex tasks. The conversation also explores the differences between building agents and traditional software, emphasizing the role of traces and online testing in agent development. Memory is also discussed as a key element for future agent development.