GenAI can’t handle High Complexity
If you’ve tried tools like Cursor or Aider for professional coding, you know that their performance is highly sensitive to the complexity of the code you’re working on. They provide a dramatic speedup when applying pre-existing patterns, and when making use of existing interfaces or module relationships. However, in ‘high-debt’ environments with subtle control flow, long-range dependencies, and unexpected patterns, they struggle to generate a useful response.

Not only does a complex codebase make it harder for the model to generate a coherent response, it also makes it harder for the developer to formulate a coherent request.