How and when to build multi-agent systems

Building multi-agent systems requires careful consideration of when and how to apply them, drawing insights from recent discussions by Cognition and Anthropic. A crucial element for success is "context engineering," which involves dynamically providing each agent with the appropriate context to do its job. The complexity also depends on the task, with "read-heavy" research systems being more manageable than "write-heavy" systems like coding due to challenges in parallelizing actions. Furthermore, production-level agentic systems demand solutions for durable execution, specialized debugging, and robust evaluation, which are challenges addressed by tools like LangGraph and LangSmith.