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.
- Known errors
- Attached to the affected files
- Guardrails
- Available before implementation
- Required tests
- Chosen from the blast radius
- Repeated approach
- Stopped by the anti-loop gate
A green build proves the code compiles. It does not prove the flow still behaves.
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
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.
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.
Continue exploring
Architecture drift
Bring architectural boundaries into the run, then review the changed responsibilities.
02Agent governance
The boundaries, evidence, and review that keep autonomous changes accountable.
03Permissions and scope
Grant the smallest useful scope, and make every expansion a visible decision.
04MCP governance
Keep one project boundary across every MCP-capable executor you use.
Governance is easier to judge on a real run.
The desktop app is free, no signup is required, and the run record stays on your machine by default. Tell me which part of your review actually needs proof — that is what decides what gets built next.
Governance applies to integrated workflows that use the project contract. It does not replace your executor’s sandbox, access controls, tests, or human review, and it does not guarantee correct code. Read the run evidence and security boundaries to see what the record proves.