Comment by promptfluid

I’ve seen better results when the model isn’t just generating code, but maintaining context across revisions — like an internal “memory” that remembers past fixes and mistakes. Once you treat the agent like a long-term learner instead of a stateless generator, the output starts to feel less like autocomplete and more like apprenticeship.