Vibe coding, AI tools, and the future of building software
Learn how I used AI to analyze and optimize production code patterns, reducing bundle sizes by 40%. Practical techniques for AI-driven compression and performance optimization.
Learn how to monitor AI-generated code in production with practical metrics, alerts, and tools. A developer's guide to catching performance issues early.
AI excels at frontend code but struggles with databases. Here's why your ORM and migration code feels stuck in the past—and how to work around it.
Struggling with version control when AI tools rewrite your entire codebase? Learn practical strategies for tracking AI changes and maintaining meaningful git history.
Learn practical strategies for rolling back AI-generated code when production breaks. Includes versioning tactics and automated safety nets for stress-free deployments.
Real data on the environmental cost of AI coding tools. How much energy does your development workflow use, and what can you do about it?
Learn how AI tools can help you understand complex codebases 10x faster. Discover practical techniques for ai code analysis and legacy code comprehension.
Learn how to onboard new developers to AI-generated codebases. Tackle documentation gaps, knowledge transfer issues, and team collaboration challenges.
Learn to spot AI code hallucinations before they break production. 5 practical warning signs that your AI-generated code is plausible-looking fantasy.
AI-generated code is creating unexpected legal risks for startups. Learn about copyright issues, licensing conflicts, and practical steps to protect your company.