Developers often struggle to identify recurring bugs in their code. An AI tool trained on a developer's past code could replicate their unique coding quirks and bugs, providing targeted debugging practice.
The tool would analyze a developer's historical codebase to identify common patterns and errors. It would then generate new code with those quirks, helping developers recognize and fix their mistakes.
Individual developers or teams would pay to improve their coding efficiency and reduce bugs in production. The smallest version could analyze a single project and generate a report of recurring issues.
The biggest risk is that developers might find the tool frustrating if it doesn't accurately replicate their quirks.