The Agent Development Lifecycle: Build, Test, Deploy, Monitor | Interrupt 26

At the opening keynote from Interrupt 26,  LangChain's annual agent conference. Harrison Chase (CEO & co-founder) and Ankush Gola (CTO & co-founder) walk through the Agent Development Lifecycle: the framework top teams use to build, test, deploy, and monitor AI agents in production, as well as a wave of new LangChain launches across every stage of that lifecycle.

More resources
- The Agent Development Lifecycle Explained: https://www.langchain.com/blog/the-agent-development-lifecycle
- SmithDB: https://www.langchain.com/blog/introducing-smithdb
- LangSmith Engine: https://www.langchain.com/blog/introducing-langsmith-engine
- Try LangSmith: https://smith.langchain.com
- Deep Agents 0.6: https://www.langchain.com/blog/deep-agents-0-6
- LangSmith Sandboxes: https://www.langchain.com/blog/introducing-langsmith-sandboxes-secure-code-execution-for-agents
- LangSmith Context Hub: https://www.langchain.com/blog/introducing-context-hub
- Managed Deep Agents: https://www.langchain.com/blog/introducing-managed-deep-agents

0:00 Intro
1:27 Welcome from Harrison Chase, CEO of LangChain
2:00 Why building agents is different from building software
3:53 The Agent Development Lifecycle overview
4:57 LangChain, LangGraph & Deep Agents
6:34 What is Deep Agents? The Agent Harness explained
8:56 New: Deep Agents 0.6
14:48 New: LangSmith Sandboxes
16:07 New: LangSmith Context Hub
19:20 What is the Agent Development Lifecycle?
20:09 New: LangSmith LLM Gateway
21:33 New: Managed Deep Agents 
23:36 Ankush Gola, CTO of LangChain
25:58 The payloads of agent traces are getting larger
27:55 New: SmithDB
29:38 The architecture of SmithDB 
34:00 How Clay & Vanta use SmithDB
38:50 New: LangSmith Engine
43:50 Building the platform for the entire ADLC