Why AI Coding Tools Keep Making the Same Mistakes
AI coding tools are useful, but they repeat the same bugs because they lack runtime feedback, full context, and product judgement.
Expert insights on fixing AI-generated code and shipping production-ready software.
AI coding tools are useful, but they repeat the same bugs because they lack runtime feedback, full context, and product judgement.
A practical roadmap to improve AI-generated code, harden a Cursor-built app, and make vibe code production ready before launch.
AI-generated code feels free until bugs, rewrites, security fixes, and lost users start costing real money. Here's how to estimate the risk.
A practical AI-generated code review checklist for non-technical founders using Cursor, Bolt, Lovable, v0, or similar tools.
Five signals of code quality you can check yourself with no coding knowledge required, plus free tools and when to call a professional.
A case study: a seed-funded SaaS built with AI coding tools, breaking under real users. What we found, what we fixed, and the results.
A bug-fixer's perspective on code quality from the most popular AI coding tools, and the framework for deciding whether to fix or rebuild.
A tactical guide to the bugs we find most often in Cursor, Bolt, Lovable, and v0 codebases, with code examples showing the fix.
Your AI-built app works perfectly in development. Here's why it falls apart in production, and what to do about it.