LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Training Data
Importance of Observability and Pairwise Testing in Complex Applications
Observability is crucial in multi-step applications to gain insights and debug non-deterministic issues. Traditional monitoring tools like DataDog may not provide the detailed insights offered by tools like Ling Smith, especially in analyzing specific traces. Pairwise testing, where two units are compared side by side, is a unique approach essential for thorough evaluations in complex software testing, unlike the binary pass or fail approach.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
