[marcyb5st]

Well put. I belong to the latter group as I feed small, granular tasks that I describe thoroughly to the LLM. I tried, however, to just give it a bigger scope task. Even best models produce sloppy code.

While the single functions/classes/structs/... can be well though out the code tends to lack cohesion, and especially maintainability. For instance, it never thinks: "I could put this logic in an interface/trait so that if the requirements change I can simply add a concrete implementation that satisfies the new requirements (and potentially use one of these for testing)".

[ifwinterco]

Yes that's also my experience.

SoTA models can do reasonably good jobs on each ticket, but over time the architecture of the application starts degrading without a human in the loop.

The entropy increases slower with better models but the trend is always towards slop