Let AI inspect code, but do not let it freely rewrite everything
Letting an freely change a whole codebase can add new bugs instead of fixing old ones. AI can sometimes find bugs, but it may fail to understand complex software and point to things that are not real problems.
A safer approach is to have AI scan the codebase and list the most likely issues, then let humans decide which findings are real and fix them. Even that may have limited value, because older tools already exist for , runtime bug checks, and memory analysis.
Hard bugs in large, older projects are often memory-related and hard to trace. Heap corruption is one example of a problem that can be very difficult to find and is not something AI can reliably solve on its own.
Key points
- Unsupervised AI code changes can create new bugs.
- AI may be better at listing possible issues than fixing complex ones by itself.
- is needed to separate real problems from .
- , runtime checks, and memory analysis remain useful without AI.
- Memory bugs such as heap corruption are especially hard for AI to fix reliably.