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Large language models, agents, and the future of AI
6 posts
Build a ReAct (Reasoning + Acting) AI agent from scratch in pure Python. 10-step interactive tutorial with runnable code, output previews, and hands-on challenges.
Step-by-step tutorial to build AI agents using the Claude Agent SDK in Python. 10 hands-on steps covering tools, hooks, subagents, and MCP servers.
Step-by-step tutorial to build an MCP server in Python. 10 hands-on steps covering tools, resources, prompts, and Claude Desktop integration.
What is Model Context Protocol? Watch MCP client-server communication in action. Learn how this Anthropic standard connects LLMs to databases, APIs, and tools.
How do AI agents work? Watch the Observe-Think-Act loop in action with our interactive visualizer. Understand ReAct, tool use, and autonomous decision-making.
What is RAG? Watch the retrieval-augmented generation pipeline step-by-step. See how LLMs access external knowledge through vector search and embeddings.