When the change looks safe
but the release is not

Correct code can still change working behaviour

Review and tests can pass while business behaviour changes.

Code review asks

Is this code sound?

Your test suite asks

Do known cases still pass?

Downstream regressions

A service change breaks a customer flow owned by another team.

Read the downstream regression use case

Downstream regression traceView use case

AI release cadence

Merged changes pile up at release verification.

Read the release cadence use case

AI release cadenceView use case

Infrastructure changes

A versioned DevOps change can break a customer flow while application code stays untouched.

Read the infrastructure use case

Infrastructure changesView use case

Security-sensitive regressions

A code or package update can alter access, validation or data handling.

Read the security-sensitive regression use case

Security-sensitive regressionsView use case

One category connects these release risks

Regression Intelligence explains how a combined release changes production behavior, including downstream regressions.

[explore Regression Intelligence]

What the diff leaves out

Vibe Coding Grew Up. Production Got Harder.

Vibe Coding Grew Up. Production Got Harder.

Claude Code and Codex made agents capable of doing the work. They did not transfer responsibility for what ships.

Which Change Caused the Incident?

Which Change Caused the Incident?

The better question is whether we could have caught the regression before production.

AI Code Review Is Not Release Verification

AI Code Review Is Not Release Verification

A clean pull request is evidence about the change. It is not evidence about every behavior the release could affect.

Run Early Regression Guard on your release candidate

Trace the impact. Decide what to fix.