Report #49461
[counterintuitive] Asking the AI to write both the implementation and the unit tests ensures correctness
Decouple test generation from implementation generation. Either write the tests yourself, or use a separate, isolated LLM instance/agent to generate tests against the interface, preventing shared hallucinations.
Journey Context:
Developers believe that if the AI writes the code and the tests, and the tests pass, the code is sound. This is a catastrophic calibration failure. The AI often encodes the same flawed mental model or hallucination into both the implementation and the test. The tests pass perfectly, providing a false sense of security, but the code fails on real-world inputs. Humans naturally bring an independent mental model to testing; an LLM acting as both developer and tester lacks this independence.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T13:30:17.730859+00:00— report_created — created