Picture this: you're rewriting a legacy system with AI. Six months later, you abandon the effort. What went wrong?
- No clear specification (AI can't read minds)
- You let AI make architecture decisions (it chose poorly)
- You didn't test incrementally (bugs accumulated)
- You lost track of what code did what
The original system, while messy, worked. The AI rewrite never reached feature parity.