Multi-Agent Systems with LLMs: A Developer’s Guide (2026)
Build multi-agent LLM pipelines with Python: orchestrator pattern, parallel fan-out, agent handoffs with state. Practical examples using Claude Sonnet and Haiku.
AI-Driven Developer
Build multi-agent LLM pipelines with Python: orchestrator pattern, parallel fan-out, agent handoffs with state. Practical examples using Claude Sonnet and Haiku.
Learn ChromaDB from scratch: create collections, add documents, query by semantic similarity, filter with metadata, and integrate with Claude to build RAG applications.
Learn how to build a Model Context Protocol (MCP) server in Python and connect it to Claude Desktop or Claude Code. Step-by-step tutorial with working code examples.
Learn how to build a RAG (Retrieval-Augmented Generation) system from scratch in Python. Covers embeddings, vector search, and generation with Claude API — with a complete working example.
Learn how to build an AI agent with Python from scratch using the Claude API — tool use, agent loop, function calling, and a complete working example you can run in minutes.
Learn the Anthropic Python SDK from scratch: pip install anthropic, messages.create, streaming, multi-turn conversations, async, and error handling. Full working code examples.