AI code regression prevention
Stop coding agents from repeating mistakes the project already learned.
Preventing AI code regressions requires more than running a generic test suite. The checks, guardrails, and known failures that matter to a change must reach the agent before it edits and remain visible during review.
01 / Guide
A green build is necessary, but incomplete.
Code can compile and tests can pass while architecture boundaries, data assumptions, or user flows quietly regress. The validation plan should be selected from the part of the system affected by the run, including the checks that previously caught similar failures.
Kaplira keeps known errors with their prevention references. When a future task touches the same surface, the run can acknowledge those constraints and report the exact validation evidence used.
- Known errors attached to affected files and architecture blocks
- Guardrails available before implementation begins
- Required tests selected from the actual blast radius
- Failed repeated approaches detected by an anti-loop gate
02 / Guide
Review the product change, not only the diff.
A line-by-line diff cannot always explain which behavior was added, preserved, replaced, or left unresolved. A structured before-and-after representation gives reviewers the product meaning of the change alongside the source evidence.
That representation also helps future agents avoid restoring behavior that was intentionally removed.
03 / Guide
Turn accepted evidence into project memory.
Regression prevention improves over time when the outcome of one run becomes context for the next. Accepted fixes become protections, unresolved risks remain attributable, and validation commands stay connected to the conditions they prove.