A comprehensive guide sharing 16 lessons learned from 31 months of experience with AI-assisted coding, particularly using Claude Code. Covers practical workflows across small, medium, and large projects including data analysis, voice transcription apps, and web development. Key insights include treating CLI as an advanced RAG tool, breaking complex tasks into smaller steps, using voice input for faster context provision, and maintaining appropriate levels of abstraction when debugging. Demonstrates how AI agents amplify fundamental coding skills rather than replace them, with real-world examples of solving CI/CD issues, optimizing code, and conducting technical analysis.
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