The Solo Developer's AI Code Review Guide: Catch What Coding Assistants Miss — Bugs, Security Issues, and Technical Debt

The Practical Companion to AI-Assisted DevelopmentClaude Code, Cursor, and GitHub Copilot can write real, working code faster than ever - but independent research consistently finds that 40-45% of AI-generated code samples introduce a security vulnerability, and AI-assisted developers introduce security findings at up to 10x the rate their increased output alone would predict. This book is the discipline that closes that gap: a practical, structured review process built specifically for solo and small-team developers shipping AI-assisted code without a team to catch what they miss.What's inside: - A structured four-pass method for reading AI-generated diffs critically, not just skimming them- The specific bug patterns and edge cases AI coding assistants systematically miss- A practical security review checklist built from real, independently-sourced vulnerability research- Why AI-generated tests often can't be trusted at face value - and how to fix that- How to prompt for more reviewable code, and where AI self-review genuinely helps (and where it doesn't)- A sustainable, checklist-driven review habit that survives real deadline pressureEvery chapter includes a worked example - following a consistent, illustrative solo-founder SaaS product - and a concrete, actionable exercise you can apply to your own codebase immediately. This isn't a book about whether to use AI to code. It's the missing manual for what happens after the AI generates the code, and you're still the one responsible for what it does.