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44 guides~4.5 hrs totalupdated Jul 6, 2026

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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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AI 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.8 min IntermediateSoftware Engineer Skills in 2026: What the Job Now ExpectsThe software engineer skills that get you hired changed in 2026: AI-assisted coding, LLM integration, agent literacy — plus a 6-point self-audit.5 min IntermediateBuild 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.5 min IntermediateOpenAI Agents SDK Handoffs: Multi-Agent Routing in PythonMaster OpenAI Agents SDK handoffs in Python: route between specialist agents, customize with handoff(), pass data with input_type, and filter history.5 min IntermediateOpenAI 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.6 min IntermediateOpenAI 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.5 min IntermediateHow 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.8 min IntermediateWhy 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.9 min IntermediateAgent Orchestration Patterns: A 2026 GuideAgent orchestration patterns: supervisor, hierarchical, sequential, parallel, swarm — which wins in 2026, what it costs, and when one agent is enough.5 min IntermediateAI Control Plane Architecture: A 2026 GuideAI control plane architecture: the governance layer over your agents — identity, policy, observability, cost, and audit — and when you actually need one.5 min IntermediateHuman-in-the-Loop Architecture: A 2026 GuideHuman-in-the-loop architecture for AI agents: approval gates, interrupt and resume, calibrated autonomy, the approval-fatigue trap, and where to put the human.5 min IntermediateLong-Running AI Workflows: A 2026 GuideLong-running AI workflows: why request/response breaks, how durable execution resumes instead of restarting, idempotency, and when to skip it.5 min IntermediateAI Agent Memory Architecture: A 2026 GuideAI 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.6 min IntermediateAI 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.6 min IntermediateContext Engineering Architecture: A 2026 GuideContext 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.5 min BeginnerAI Agent vs Workflow: What's the Actual Difference? (2026)AI agent vs workflow, settled: one question tells you which you actually have. The difference is who decides the next step — your code, or the model — with code examples.5 min BeginnerWhich 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.9 min IntermediateAgentic AI in Python: Zero to Production — The Full SeriesThe complete Agentic AI in Python series — six parts that take you from a local LangGraph agent to a deployed, memory-keeping, tool-using, observable app. Start here.1 min BeginnerFrom Scratch to LangGraph: When to Stop Hand-Building AgentsFrom 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.5 min IntermediateAI Agent Evals in CI: Block Bad PRs with GitHub ActionsRun 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.6 min IntermediateGoogle 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.7 min IntermediateLangGraph 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.7 min BeginnerAI Agent Loop in Python: Build a ReAct Agent From ScratchBuild 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.7 min BeginnerAI Agent Memory in Python: Short-Term Memory From ScratchAdd 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.7 min IntermediateCrewAI 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.7 min Beginnern8n 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.6 min BeginnerPython 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.6 min BeginnerCall an LLM in Python: The First Building Block of an AgentCall 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.6 min BeginnerTool Calling in Python: Make an LLM Use Your FunctionsTool 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.7 min IntermediateAI 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.7 min MCP 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 min MCP 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.5 min IntermediateBuild 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.7 min BeginnerAgentic AI Roadmap 2026: Worth It + the Exact PathAn 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.5 min IntermediateLangGraph 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.6 min BeginnerWhat 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.5 min IntermediateBuild 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.7 min IntermediateBuild 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.8 min IntermediateBuild an MCP Server in Python: Production-Ready in 2026Build a production-ready MCP server in Python with FastMCP — typed tools, OAuth 2.1 auth and streamable-HTTP deployment that most 2026 tutorials skip.7 min IntermediateBuild 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.9 min IntermediateBuild 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.9 min BeginnerWhat 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 2026.6 min BeginnerThe Future of Work: A Deep Dive into the Digital RevolutionThe 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.4 min

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