Everything on building AI agents, newest first. Looking for the deep dives? Start with the guides.
MCP v2 breaking changes explained: the protocol goes stateless and deprecates sampling, roots, and logging. What changed across every MCP SDK, why, and how to plan your migration.
Is LangChain worth it in 2026? A practitioner's guide to the v1 stack: create_agent, middleware, deploying, observing, and MCP, with an honest verdict.
Discover the top open-source AI agent evaluation frameworks in 2026. From DeepEval and promptfoo to agentevals and Strands Evals, see which eval tools to use for trajectory checking, CI gating, red-teaming, and scoring agents in production.
Frontier coding agents are capable but non-deterministic. These are the agent skills for agentic engineering and spec-driven development that keep their work durable across sessions.
Building an AI agent in 2026 isn't one decision — it's four different paths. Here's how to tell which one fits what you're actually trying to do.
Most agent content teaches you to build. Goose is a battle-tested open-source AI agent you can install and run today, with 70+ extensions and the full codebase if you ever need to go deeper.