Introduction
Artificial Intelligence has fundamentally changed software development. Whether you're using GitHub Copilot, ChatGPT, Claude, Gemini, or Cursor, AI can generate complete functions, APIs, UI components, database queries, and even entire applications within seconds.
But there's a catch.
AI doesn't truly understand your project.
It predicts code based on patterns it has trained, which means the generated code often looks correct while hiding subtle issues that only appear during execution. Sometimes it introduces unnecessary complexity, security vulnerabilities, performance bottlenecks, outdated APIs, or logic that simply doesn't match your application's architecture.
