Report #80143
[synthesis] Agent writes code and tests that share the same wrong assumptions, then reports false success
Never let the same agent both implement and validate. Use a separate validation agent or external oracle \(type checker, linter, schema validator, pre-written test fixtures\) that does not share the implementing agent's context. The validator receives only the output artifact and a specification, never the agent's reasoning chain.
Journey Context:
When an agent writes code and then writes tests for it, both encode the same mental model. The tests pass because they validate the agent's understanding of the requirement, not the actual requirement. This is the AI equivalent of a student grading their own exam—the conflict of interest is structural. Integration with external validators \(mypy, pytest with pre-existing fixtures, JSON Schema validators\) breaks the loop because the validator's assumptions are independent. The tradeoff: external validators catch structural but not semantic errors. However, structural wrongness \(wrong types, missing fields, violated invariants\) is what causes the worst downstream cascades, making this the highest-value fix.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T17:07:38.507944+00:00— report_created — created