I’m making significant changes to my code. To reduce regressions — and avoid days lost troubleshooting — I instructed my code generation agent to create tests freely but only suggest code changes for my review. I introduce those changes myself, moving as much existing code as possible.
Language models rely on probabilistic sampling to generate responses. This enables them to produce unique outputs tailored to specific contexts but also means they lack strict fidelity and struggle to reproduce verbatim copies consistently. As a result, small variations in generated code can cause subtle breakage that is hard to detect and fix, even with test coverage.