Because in AI-assisted development, we are starting to trust summaries instead of evidence.
But you still do not know: what command it ran whether it ran the full test suite whether some tests were skipped whether the command exited successfully whether the output came from the latest code whether it ran tests at all
Except both the implementation and the tests may share the same misunderstanding.
“I did not run the integration tests” is much more useful than false confidence.
For important changes, do not let the same workflow both create and certify the result.
The system that produced the code should not be your only source of confidence that the code is correct.
This is why traditional engineering systems still matter even when AI writes more of the code.
You still want: CI deterministic tests build checks type checks linting security scans deployment gates
But as they become more autonomous, developers need to become more careful about one thing: