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16 guides~1.8 hrs totalupdated Jul 6, 2026
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Pydantic AI vs LangChain: Which Framework Should You Use? (2026)

Pydantic AI vs LangChain in 2026: real code for both, a clear verdict on which to pick, and exactly where each framework stands right now — including the v2 beta.

Intermediate · 6 min
AI Engineering
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16 on this page
Intermediate5 minOpenAI Agents SDK vs LangGraph: Which to Use in 2026? OpenAI Agents SDK vs LangGraph in 2026: a managed agent loop or an explicit state graph? A head-to-head on control, state, durability, and when to pick each.Intermediate8 minAgentic RAG: Why Static Retrieval Isn’t Enough (2026) Corrected 16 OctAgentic RAG wraps retrieval in an agent loop that grades its own results and re-queries when they're weak. Here's how it beats static RAG, and what it costs.Intermediate9 minWhy Your LangGraph Agent Keeps Looping (and How to Fix It) Your LangGraph agent looping until GraphRecursionError? Here's how to diagnose the four causes and fix the stop condition — not just raise the limit.Beginner8 minWhich AI Agent Framework Should You Use in 2026? A developer's decision guide to the best AI agent frameworks in 2026 — three questions to confidently pick LangGraph, CrewAI, the OpenAI or Claude SDK.Intermediate2 minAgentic AI in Python: Zero to Production — The Full Series Updated 16 OctThe complete Agentic AI in Python series — seven parts that take you from a local LangGraph agent to a deployed, memory-keeping, tool-using, observable app. Start here.Beginner5 minFrom Scratch to LangGraph: When to Stop Hand-Building Agents From scratch to LangGraph: the four walls that tell you when to use LangGraph instead of a hand-built Python agent loop — and when plain Python is still the right call.Intermediate7 minLangGraph Tutorial: Build Your First AI Agent in Python (2026) A LangGraph tutorial for 2026: build your first AI agent in Python with create_agent, then rebuild it as a raw StateGraph so you actually see what's underneath.Intermediate7 minBuild an Agentic AI App in Python: MCP Client (Part 5) Build an MCP client in Python so your agent calls real tools — connect a LangGraph agent to an authenticated FastMCP server with langchain-mcp-adapters.Beginner5 minAgentic AI Roadmap 2026: Worth It + the Exact Path An honest agentic AI roadmap for 2026: is it worth learning, the exact path from Python to a deployed agent, what to skip, and the tools that matter.Intermediate5 minLangGraph vs CrewAI vs AutoGen: Which to Use in 2026? LangGraph vs CrewAI vs AutoGen compared for 2026: dev speed, production reliability, observability, and how to pick the right Python AI agent framework.Intermediate7 minBuild an Agentic AI App in Python: AI Agent Memory (Part 4) Add real AI agent memory in Python — a LangGraph Store that recalls users across threads, semantic search with embeddings, and Redis for production.Intermediate8 minBuild an Agentic AI App in Python: Multi-Agent Systems (Part 3) Build multi-agent systems in Python with LangGraph: a supervisor routing search, summarise & fact-check workers, plus loop guards that save real money.Intermediate8 minDeploy AI Agent to Cloud Run or Fly.io (Python 2026) Deploy AI agent code to Cloud Run or Fly.io in one command: push once, get a live HTTPS URL, and keep your Postgres-backed agent memory intact — no VPS.Intermediate9 minBuild an Agentic AI App in Python: FastAPI, Docker & Deploy to Production (Part 2) Wrap your LangGraph agent in FastAPI, Dockerize it, and deploy to a cloud VPS. Part 2 of the Agentic AI Python series — zero to production.Intermediate9 minBuild an Agentic AI App in Python: Zero to Production (Part 1) Learn how to build a working agentic AI app in Python with LangGraph. Part 1 covers tools, StateGraph, and memory — step by step from scratch.

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