Code-first guides for developers — the agent loop, MCP, frameworks, and the four ways to build. Working code in every post, no hype.
New here? Start with these
01 · Not sure which way to build?
The right approach isn't about what sounds most sophisticated. It's about where ownership should sit: who builds, who runs, who decides. Answer three questions and Agentailor stitches a recommendation across the four ways to build.
Find your path02 · Ready to read? Start with the complete guide
Build a stateless MCP v2 server in TypeScript. A hands-on guide to the MCP TypeScript v2 SDK — the new @modelcontextprotocol/server packages, createMcpHandler, Standard Schema tools, and what replaces session handling.
03 · Know what you want? Browse by topic
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MCP v2 breaking changes explained: the protocol goes stateless and deprecates sampling, roots, and logging. What is changing across every MCP SDK, why, and whether you should migrate yet.
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.
Use with AI
Reading through ChatGPT, Claude, or your own agent? Every post is machine-readable via llms.txt, a full-text dump, and a Markdown twin for every URL. Hand it a prompt and let it reason over everything at once.
I'm new to building AI agents. Fetch https://blog.agentailor.com/llms-full.txt — the full text of the Agentailor blog — and design me a structured 4-week curriculum from its articles, fundamentals to production.
Ask Agentailor
Skip the search. Ask Agentailor anything about building AI agents — frameworks, MCP, coding agents, or which path fits — and get a direct answer, grounded in every post on this site.
$ ask agentailor "which way should I build my agent?"
→ answers grounded in every post here.
→ no hunting through the archive.