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48 guides~4.8 hrs totalupdated Oct 20, 2026
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Agentic Search vs RAG: Which One Do You Actually Need? (2026)

Agentic search vs RAG, decided: a flowchart, real cost data, and the default that wins most of the time — plus exactly when to pay for the upgrade.

Intermediate · 6 min
AI Engineering
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48 on this page
Intermediate11 minAI Agent Interview Questions (2026): Strong vs Weak Answers AI agent interview questions with strong vs weak answers: the agent loop, tool failures, loop guards, memory, evaluation and when not to use an agent.Intermediate6 minThe AI Engineer Interview Prep Plan (2026): 2 to 4 Weeks An AI engineer interview prep plan for 2 to 4 weeks: a baseline check, a weekly cycle, week-by-week schedules for RAG, agents, evals and behavioral rounds.Intermediate6 minAI Engineering Portfolio Projects That Get Interviews (2026) AI engineering portfolio projects that get interviews: build one project in four layers, report one measured number each, and write the README reviewers read.Beginner8 minEvaluate an AI Agent on a Local LLM: Free, No API Key (2026) Evaluate an AI agent on a local LLM for free — build a tiny Pydantic AI agent on Ollama and score it with pydantic-evals, agent and judge both local, no API key.Intermediate9 minAI Agent Guardrails in Python: Input & Output Validation AI agent guardrails in Python: validate input and output, block prompt injection, and enforce schemas with the OpenAI Agents SDK and Pydantic.Intermediate6 minPydantic 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.3 minDesigning AI-Native Applications: The Architecture Series AI-native applications break classic architecture instincts. This 8-part series maps the decisions that matter: context, memory, orchestration, governance.Beginner5 minClaude Code MCP with Local Models: A Private Agent Stack Claude Code MCP on a free local stack: add servers with one command, pick tool-capable Ollama models, set scopes right, and dodge the privacy trap.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.Beginner7 minOpenRouter Review (2026): One API, 300+ Models — Worth It? OpenRouter review (2026): one API for 300+ LLMs with automatic failover and zero markup — but a 5.5% credit fee. Real costs, limits, and who should use it.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.Beginner5 minBest n8n Alternatives for AI Agents (2026) The best n8n alternatives for AI agents in 2026 — Make, Activepieces, Zapier, Gumloop, Lindy, Relevance AI and Pipedream, with honest picks by use case.Beginner5 minn8n Review (2026): Best No-Code AI Agent Builder? n8n review (2026): the most capable low-code platform for building real AI agents — native agent nodes and per-execution pricing, but a steep learning curve.Intermediate5 minAI Engineer Interview Questions (2026): RAG & Agents A 2026 playbook of AI engineer interview questions by round: RAG, agents, LLM system design, and evals, with what each really tests and how to answer.Intermediate6 minBecome an AI Engineer: The 80% You Already Know (2026) You already do 80% of an AI engineer's job. If you ship software, here's the exact 20% you need to become an AI engineer in 2026: RAG, agents, evals.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.Beginner7 minn8n vs Make for AI Agents (2026): Which to Use n8n vs Make for AI agents in 2026: how their agent nodes, pricing (executions vs credits), and setup differ — and which one to actually pick.Beginner4 minPydantic BaseModel: A Primer for AI Agent Developers (2026) A Pydantic BaseModel primer for AI agent developers: define a model, validate data, and turn messy LLM output into a clean, typed Python object.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.Beginner3 minPython Decorators: A Primer for Reading AI Agent Code (2026) A Python decorators primer for reading AI agent code: what the @ symbol does, how @tool and @app.get work, and why frameworks hand you decorators to apply.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.Beginner5 minAsync and Await in Python: A Primer for AI Agent Code (2026) An async and await in Python primer for reading AI agent code: what async def, await, and asyncio.run mean, and the two mistakes beginners always hit.Beginner4 minDocker for Python: A Primer for Shipping AI Agents (2026) A Docker for Python primer: what images and containers are, how to write a Dockerfile for an app, and why agents ship in containers — explained simply.Beginner6 minEmbeddings and Vector Search: A Primer for AI Agents (2026) Updated 16 OctAn embeddings and vector search primer: how text becomes vectors, how similarity search finds meaning not keywords, and why agent memory and RAG rely on it.Beginner4 minLLM API Keys: Set Up OpenAI, Anthropic & Gemini (2026) An LLM API key primer: where to get OpenAI, Anthropic, and Gemini keys, how to load one safely with python-dotenv, and how to avoid a leaked-key bill.Beginner4 minOAuth 2.1 in Plain English: A Primer for Developers (2026) An OAuth 2.1 primer in plain English: access tokens, scopes, the client–server–authorization flow, and how it protects an API or MCP server from anyone.Beginner4 minPytest and CI: A Primer for Testing AI Agents (2026) A pytest and CI primer: write a first test, run it, and wire it into GitHub Actions so every pull request is checked automatically — explained for beginners.Beginner4 minPython Type Hints: A Primer for Reading AI Agent Code (2026) A Python type hints primer for reading AI agent code: function hints, Optional, Union, TypedDict for message lists, and how frameworks use them.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.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 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.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.Intermediate7 minPydantic AI Tutorial: Type-Safe AI Agents in Python (2026) Pydantic AI tutorial: build type-safe AI agents in Python with structured outputs, tools, dependency injection and native MCP, plus runnable 2026 code.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.

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