Unverified50% confidenceFactExact time
Test cases turn "whether a feature is complete" from a subjective judgment into an objectively executable standard; after writing code, the agent can run the tests itself and keep revising if they fail.
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
Superpowers Tutorial: Giving AI Coding Agents a Complete Development Workflow
bilibili赋范课堂10/25/2026
Related Entities
Related Claims
UnverifiedEach rule has trigger conditions and visible checkpoints, so it can be tested; the Agent can replay past failure cases against the rules to check whether it would now make rule-compliant decisions.80% similarUnverifiedBehavioral regression testing draws on the regression testing concept from traditional software engineering: whenever a prompt is modified, a predefined set of test cases is automatically run to verify that the model has not degraded on key behavioral dimensions.79% similarUnverifiedFor Agent outputs, the problem of test completeness is especially pronounced, because the generated code or text often "looks reasonable"—syntactically correct and stylistically consistent—yet is wrong in semantics or business rules.79% similarUnverifiedThe Inner Check works by appending a mandatory self-verification statement at the end of a skill, shifting the Agent's evaluation criterion from execution intent to actual output.78% similarUnverifiedWhen the Agent that wrote the code reviews it afterward, it compares the code with the intent rather than the code with the result, so it easily concludes that it is "done".77% similar
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