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45 guides~4.6 hrs totalupdated Oct 14, 2026

Agent Mesh vs Supervisor: What Holds Up in Production

Agent mesh vs supervisor: why 2026 production data favors bounded supervisor coordination over open agent meshes, and when a controlled mesh still earns its keep.

Intermediate · 6 min

Software Architecture

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Intermediate5 minChatGPT MCP: Connect Any MCP Server to ChatGPT (2026) ChatGPT MCP setup in 2026: turn on Developer Mode, add your MCP server as a custom connector over OAuth, and handle the write-confirmation gotcha.8 minAI Gateway Design: One Front Door for Every Model (2026) AI gateway design: one front door for every LLM call — routing, fallback, caching, cost control, and guardrails. What belongs in one, and when you need it.Intermediate5 minSoftware Engineer Skills in 2026: What the Job Now Expects Updated 16 OctThe software engineer skills that get you hired changed in 2026: AI-assisted coding, LLM integration, agent literacy — plus a 6-point self-audit.Intermediate5 minBuild a Customer Support AI Agent in Python (2026) Build a customer support AI agent in Python with the OpenAI Agents SDK: triage, order lookup, refunds, human escalation, and memory — with runnable 2026 code.Intermediate5 minOpenAI Agents SDK Handoffs: Multi-Agent Routing in Python Master OpenAI Agents SDK handoffs in Python: route between specialist agents, customize with handoff(), pass data with input_type, and filter history.Intermediate6 minOpenAI Agents SDK Tutorial: Build an Agent in Python (2026) Build your first AI agent with the OpenAI Agents SDK in Python: tools, structured output, handoffs, and memory — with runnable 2026 code and common pitfalls.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.Intermediate9 minHow to Evaluate an AI Agent: Metrics & Frameworks (2026) An AI agent evaluation guide for 2026: the metrics that actually matter, how to score them, and the frameworks — LangSmith, DeepEval, Ragas — to run them.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.Intermediate5 minAgent Orchestration Patterns: A 2026 Guide Agent orchestration patterns: supervisor, hierarchical, sequential, parallel, swarm — which wins in 2026, what it costs, and when one agent is enough.Intermediate5 minAI Control Plane Architecture: A 2026 Guide AI control plane architecture: the governance layer over your agents — identity, policy, observability, cost, and audit — and when you actually need one.Intermediate5 minHuman-in-the-Loop Architecture: A 2026 Guide Human-in-the-loop architecture for AI agents: approval gates, interrupt and resume, calibrated autonomy, the approval-fatigue trap, and where to put the human.Intermediate5 minLong-Running AI Workflows: A 2026 Guide Long-running AI workflows: why request/response breaks, how durable execution resumes instead of restarting, idempotency, and when to skip it.Intermediate6 minAI Agent Memory Architecture: A 2026 Guide AI agent memory for architects: the three long-term types, the write-recall-forget lifecycle, where it breaks, and when an agent needs no memory at all.Intermediate6 minAI Agents vs Microservices: An Architect’s Guide (2026) AI agents vs microservices: the six differences that matter — determinism, state, contracts, retries, testing, cost — and when an agent is the wrong tool.Intermediate5 minContext Engineering Architecture: A 2026 Guide Corrected 16 OctContext engineering for architects: treat the context window as RAM on a token budget — what fills it, where it breaks, and when a plain prompt wins.Beginner5 minAI Agent vs Workflow: What’s the Actual Difference? (2026) AI agent vs workflow, settled: one question tells you which you have. It comes down to who decides the next step, your code or the model, with code examples.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.Intermediate6 minAI Agent Evals in CI: Block Bad PRs with GitHub Actions Run AI agent evals in CI: turn your pydantic-evals suite into a test, gate it with GitHub Actions, and block any pull request that drops the agent's score.Intermediate7 minGoogle ADK Tutorial: Build Your First AI Agent in Python (2026) A Google ADK tutorial that fills the setup gap most tutorials skip: go from an empty folder to a running AI agent in Python, with a validation loop and an MCP connection.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.Beginner7 minAI Agent Loop in Python: Build a ReAct Agent From Scratch Build an AI agent loop in Python from scratch: a framework-free ReAct agent that thinks, calls a tool, observes the result, and repeats until the job is done.Beginner7 minAI Agent Memory in Python: Short-Term Memory From Scratch Add AI agent memory in Python from scratch: keep the conversation in a messages list, then trim and summarize older turns to fit the model's context window.Intermediate7 minCrewAI Tutorial: Build a Multi-Agent Team in Python (2026) CrewAI tutorial: build a 3-agent team in Python — researcher, writer, and editor — with runnable 2026 code, and exactly when a crew is overkill.Beginner6 minn8n AI Agent Tutorial: Build One Without Code (2026) Build an n8n AI agent without code: wire four nodes into a working agent, see each node mapped to the loop underneath, and learn when to switch to Python.Beginner6 minPython for AI Agents: The Basics to Read the Code (Part 0) The Python for AI agents you actually need to read the code: dicts, functions, type hints, loops, async, and setup — explained simply for beginners.Beginner6 minCall an LLM in Python: The First Building Block of an Agent Call an LLM in Python with real OpenAI and Anthropic code: system vs user prompts, temperature, JSON output, and why one call isn't yet an agent.Beginner7 minTool Calling in Python: Make an LLM Use Your Functions Tool calling in Python from scratch: define a tool, parse the model's request, run your function, and return the result — with real, current OpenAI code.Intermediate7 minAI Agent Observability & Evals in Python (Part 6) Add AI agent observability and evals in Python — trace every agent run with Pydantic Logfire and score it against a test set using pydantic-evals.5 minMCP vs A2A: Do Your AI Agents Need Both? (2026) MCP vs A2A in 2026, in plain English: MCP connects an agent to tools, A2A connects agents to each other. Here's when you need both — and when you don't.5 minMCP vs REST API: Do You Even Need MCP? (2026) MCP vs REST API in plain English: a REST call connects your code to a tool, MCP connects any AI agent to it. Here's when you actually need MCP.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.Beginner5 minWhat Is an MCP Server? Complete Guide for Developers (2026) What is an MCP server? A plain-English 2026 guide to the Model Context Protocol: how MCP servers work, MCP vs APIs, and whether to adopt one.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.Intermediate7 minBuild an MCP Server in Python: Production-Ready in 2026 Updated 16 OctBuild a production-ready MCP server in Python with FastMCP — typed tools, OAuth 2.1 auth and streamable-HTTP deployment that most 2026 tutorials skip.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.Beginner6 minWhat Are AI Agents? Complete Guide for Developers (2026) Learn what AI agents are, how they work, and when to use them. A practical developer's guide covering LLMs, tool use, memory, and real-world examples in 2026.Beginner4 minThe Future of Work: A Deep Dive into the Digital Revolution Corrected 16 OctThe future of work in 2026: AI agents as coworkers, hybrid as the default, and a looming skills cliff. The real data, the trends, and how to stay ahead.

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