Claude Code Masterclass

Why It Matters

The presentation shows how agentic AI is making one-off and iterative engineering projects more practical and productive, reshaping developer workflows while increasing reliance on core coding and data skills. Organizations adopting these agentic patterns can accelerate product iteration, data analysis, and automation with lower manual overhead.

Summary

In the Claude Code Masterclass, a developer-experience manager reviews 31 months of hands-on work with agentic coding using Claude/Cloud Code, distilling 16 lessons through six project case studies ranging from small analyses to medium-sized apps. Key takeaways include treating CLI-enabled agents as advanced RAG systems, using command-and-control to supply proprietary data, amplifying foundational coding and data skills with AI, and breaking complex features into smaller, testable steps. Examples highlighted include a GitHub growth analysis, a mortgage-data comparison built by scraping browser data, and a locally running voice-transcription assistant developed iteratively. The talk emphasizes practical workflows and tooling patterns for integrating AI agents into real development processes.

Original Description

Everything I've learned about Claude Code since its launch.

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