Regression Verification
A testing process that confirms new changes have not broken existing functionality; in AI-assisted programming it is used to detect side effects unintentionally introduced by the model, and is often combined with the small-step edit loop for continuous verification.
Timeline (last 90 days)
Regression verification refers to the testing process of confirming that a new change has not broken existing functionality; it is especially important in AI-assisted programming because the model may inadvertently introduce side effects, such as breaking a JavaScript selector that depends on a CSS class name when that class name is modified.
The small-step edit loop breaks regression verification down into an immediate check after each modification; it is essentially a "continuous verification" strategy whose cost is far lower than troubleshooting a mixed diff after the fact.
All Facts (2)
Regression verification refers to the testing process of confirming that a new change has not broken existing functionality; it is especially important in AI-assisted programming because the model may inadvertently introduce side effects, such as breaking a JavaScript selector that depends on a CSS class name when that class name is modified.
50%UnverifiedThe small-step edit loop breaks regression verification down into an immediate check after each modification; it is essentially a "continuous verification" strategy whose cost is far lower than troubleshooting a mixed diff after the fact.
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