[aithrowawaycomm]

This might be the most relevant difference:

> Like the Uplevel study, Gekht also sees AI assistants introducing errors in code. Each new iteration of the AI-generated code ends up being less consistent when different parts of the code are developed using different prompts.

> “It becomes increasingly more challenging to understand and debug the AI-generated code, and troubleshooting becomes so resource-intensive that it is easier to rewrite the code from scratch than fix it,” he says.

In particular if there's little standardization in prompting styles across the team, I could see things getting confusing.

But there are also bad incentives on teams that don't exist for solo devs: e.g. presumably you aren't shipping code solely because your manager is getting on to you about missed deadlines, without any business justifications for the hurry. AI codegen that effectively optimizes to the manager / user story seems bad for business.