Agent Development Lifecycle (ADLC) – Build → Test → Deploy → Monitor
Implement a Build → Test → Deploy → Monitor cycle for agents, starting evaluation before production and using LangSmith for tracing and sandboxing.
Implement a Build → Test → Deploy → Monitor cycle for agents, starting evaluation before production and using LangSmith for tracing and sandboxing.
Summary
Agent Development Lifecycle (ADLC) outlines a repeatable Build → Test → Deploy → Monitor framework for shipping agents safely and efficiently. The Build phase lets teams choose from code‑first frameworks like LangChain, LangGraph, Deep Agents, CrewAI, or no‑code tools such as LangSmith Fleet, Claude Cowork, and n8n, and decide on abstractions, prompts, tools, and state. Test requires pre‑deployment evaluation datasets, metrics, and experiments that compare prompts, models, and tool schemas, and it encourages multi‑turn simulation and sandbox execution with LangSmith Sandboxes, Daytona, or E2B. Deploy must use a durable runtime that supports checkpointing and human‑in‑the‑loop patterns, with options like LangSmith Deployment, AWS AgentCore, or Temporal, and should include sandboxed code execution for safety. Monitor captures production traces, clusters failures, and feeds insights back into the Build phase, while a context hub stores and version‑controls prompts, skills, and retrieval context for non‑engineers to edit. The article also stresses cost control, tool access governance, and the need for shared ways to inspect tool calls and decide where human intervention is required.
Key changes
- Introduces Build → Test → Deploy → Monitor lifecycle for agents.
- Emphasizes pre‑deployment evaluation datasets, metrics, and experiments.
- Recommends multi‑turn simulation and sandbox execution with LangSmith Sandboxes, Daytona, or E2B.
- Advocates durable runtimes like LangSmith Deployment, AWS AgentCore, or Temporal for checkpointing and human‑in‑the‑loop.
- Suggests a context hub for versioning prompts, skills, and retrieval context.
- Highlights cost control, tool access governance, and shared inspection of tool calls.