Use Case

What is Double Check?

Double Check is a verification step that re-runs your code through a second, independent AI model and compares its verdict against the first analysis. Where a single model can be confidently wrong, two models that agree give you a much stronger signal — and where they disagree, you know exactly what to review.


How Double Check works

A normal analysis sends your code to one model and returns findings. With Double Check enabled, LearnCodeGuide sends the same code to a second model and then reconciles the two results:

Agreement

Both models flag the same issue → the finding is marked high-confidence.

Disagreement

Only one model flags an issue → it is surfaced as “needs review” so you can judge it yourself.

Verdict

You get a short summary of whether the second model confirms the first, plus any notes.

When should you use it?

Double Check is most valuable when the cost of a missed bug is high: security-sensitive code, payment or auth logic, code you are about to ship, or anything where you want a second opinion before trusting the result. For quick exploratory checks, a single analysis is usually enough.

Which plans include Double Check?

Double Check is available on the Pro plan (20 double-checks per month) and the Pay-as-you-go plan (5 double-checks per pack). See the pricing page for current allocations.

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Pro tip: Don't treat a single AI verdict as ground truth. Use Double Check on the findings that matter, and always read the explanation behind each issue.


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Published by LearnCodeGuide Team · Last reviewed: June 2026