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AI Engineering

Hands-on AI development — building AI agents, LLM tools, MCP servers, agentic apps, and deployment, plus the latest in artificial intelligence and machine learning.

74 guides~1.1 hrs totalupdated Jul 5, 2026

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12 on this page
BeginnerRun Claude Code for Free: What Viral Videos Don't Tell YouThose viral videos about running Claude Code for free are half true. What is actually free, what costs money, and three real setups that work in 2026.6 minIntermediateBuild 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 minIntermediateLLM Structured Outputs: Validated JSON in Python (2026)Get structured outputs from LLMs in Python: validated JSON, not fragile parsing — with Pydantic, OpenAI Structured Outputs, and instructor. Runnable code.4 minIntermediateOpenAI 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 minIntermediateOpenAI 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 minIntermediateOpenAI 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 minIntermediateVector Database for RAG: When to Ditch the List (Part 4)A vector database for RAG earns its place when persistence, filters, or scale demand it — move the Part 1 list store to Chroma and add hybrid search.7 minIntermediateSemantic Chunking & Re-Ranking for Better RAG (Part 3)Semantic chunking and cross-encoder re-ranking break the retrieval ceiling fixed-size chunks hit — with a hit-rate eval showing which to reach for first.6 minIntermediateRAGFlow: Fix Bad RAG Retrieval on Real PDFs (2026)RAGFlow fixes the RAG failure you can't out-prompt — bad PDF and table parsing. See how its deep document understanding reads tables right, and when to use it.5 minBeginnerPython Environment Setup for AI Agents: The 5-Minute Primer (2026)The one setup every AI agent tutorial assumes: install Python, create a virtual environment, install packages, and add your API key with a .env file — in about five minutes.4 minIntermediateAgentic RAG: Why Static Retrieval Isn't Enough (2026)Agentic 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.6 minIntermediateBuild a RAG System in Python From Scratch (Part 1)Build a RAG system in Python from scratch — no framework. Four functions that chunk, embed, store, and retrieve over your own docs, then answer with an LLM.8 min
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