A developer's journey building a two-agent LangGraph pipeline reveals that data transfer between agents can happen either through the model (re-typing via ToolMessage) or through a typed blackboard st…
A developer provides a step-by-step guide to building AI agents that can plan, use tools, and complete multi-step tasks without constant human intervention. The tutorial covers popular frameworks like…
LangChain and LangGraph solve different problems for enterprise AI agents, with LangChain optimized for linear LLM pipelines and LangGraph designed for stateful, branching workflows requiring persiste…
LangGraph developers often struggle with code organization despite understanding the library's concepts. A new standardized architecture guide introduces the SIDE framework (State, Instructions, Decis…
An engineer built a LangChain agent that reads an inbox, summarizes threads, and drafts replies, but faced production issues with OAuth and privacy. The solution uses Nylas Agent Accounts to create a …