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Verification

AI code verification should reject weak evidence

AI code verification is the discipline of checking generated code against the request, the repository, and executable evidence. It is not a second prompt asking the same model whether its own work looks correct.

Published June 26, 2026. Updated July 7, 2026.

The minimum standard

The useful standard is simple: a verifier must be allowed to say no. If a change has missing tests, unclear scope, broad unrelated edits, or skipped checks hidden behind confident wording, the verifier should send it back.

What a verifier should reject

What a useful report looks like

A useful verifier report has a small number of fields: scope, checks run, findings, rejected assumptions, residual risk, and merge recommendation. It should make uncertainty visible instead of smoothing it over.

Confidence is not evidence. Evidence is what ran, what failed, what changed, and what still needs judgment.

How Concertor fits

Concertor's verification story should be about structure: author and verifier are separate roles, checks are recorded, weak changes can be sent back, and the final handoff tells a human reviewer what remains uncertain.

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