I build AI-powered tools that help people work smarter. You might know my other projects:
The session analyser for AI-assisted development. Upload a Claude Code transcript and get scored across 8 fluency dimensions — with actionable recommendations.
A VSCode extension that monitors your Claude Code sessions in real-time — live health scores, anti-pattern alerts, and per-model cost tracking, right inside your editor.
Building these tools, I kept hearing the same question from engineers: "I can call the Claude API — but how do I actually build something real with it?" This course is my answer.
Building with the Claude API is a practical, code-first course for software engineers who want to integrate Claude into real applications. It covers everything from your first authenticated request to building production tool systems, hybrid RAG pipelines, MCP servers, and agentic workflows.
Every concept ships with working Python code you can run and modify. You'll build a multi-turn chat system, a prompt evaluation pipeline, a complete tool use system, a hybrid RAG pipeline, and an MCP server and client over the course of 13 modules.
Most LLM tutorials stop at "here's how to call the API." That's where the real work begins. Production applications need evaluation, error handling, structured output, tool use, retrieval, and a clear story for when to use a workflow vs a full agent.
I built this course to fill that gap — to take engineers from "I made an API call" to "I shipped a Claude-powered feature into production" without skipping the parts that matter: evals, tool design, context management, and pattern selection.
Everything is grounded in the official Anthropic API documentation and patterns we use in our own production systems.
Questions, feedback, or just want to say hi — I'd love to hear from you.
All tools built by AI First Partner