Personal observations and findings from my development journey. I'm not claiming these are the best methods—just sharing what I've discovered and what works for me. Always open to suggestions. After all, I'm a product person playing programmer/CTO.
How the 200-line rule evolved from AI coding assistant limitations into a powerful maintainability practice, complete with automated tooling.
Discovering the rich ecosystem of shadcn/ui extensions and specialized components that go beyond the core library.
The essential rules and workflows I've developed for effective AI-assisted development, from file organization to automated quality checks.
How Model Context Protocol integrations transform AI-assisted development from good to extraordinary.
How I use automated quality gates to maintain code standards without slowing down development.
Seamlessly integrate Linear project management with AI assistants for automated issue tracking and workflow optimization.
A curated terminal setup built on Oh My Zsh with modern CLI tools, AI integration, and performance-first philosophy for maximum developer productivity.
How Claude transforms GitHub pull request reviews into a powerful quality assurance process, bridging the gap between human judgment and AI consistency.
Why I rotate between Claude Code, Windsurf, and Warp—and how understanding their strengths can supercharge your coding workflow without forcing you to pick just one.
More notes coming soon as I document my learnings and discoveries.