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Using the Library in Code Review

Bring version-correct docs and code-map context into AI-assisted code review with Vibgrate AI Context. Learn how grounded context catches version-mismatched suggestions before they merge.

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Code review is where wrong assumptions get caught — or missed. When an AI assistant helps review a change, its judgment is only as good as the context it has. This guide shows how to use the Free Dev Docs Library and Vibgrate AI Context to ground AI-assisted review in version-correct docs and real code structure.

It is for teams using AI in review and for leads who want fewer version-mismatched bugs slipping through.

Overview

During review, two questions repeatedly come up: is this using the library correctly for our version? and what else does this change touch? Vibgrate AI Context answers both — version-correct docs for the first, the code map for the second — served locally to your assistant.

Step 1 — Serve grounded context

From the repository under review:

vg serve

The assistant can now read version-correct docs for your lockfile versions, traverse the code map, and read your DriftScore — all locally.

Step 2 — Check API usage against the right version

When a change calls into a dependency, the assistant can consult the Free Dev Docs Library for the exact installed version rather than recalling a different one. This catches the classic review miss: code that looks right against the latest docs but is wrong for the version you ship.

vg lib

Use this to confirm the library is available before relying on its docs in review.

Step 3 — Understand the blast radius

Structural questions are where the code map earns its keep. vg impact gives a deterministic blast radius for a changed node, and with --tests it surfaces exactly which tests to run:

vg impact --tests

Served through Vibgrate AI Context, that same structural reasoning is available to the assistant as it reviews.

Step 4 — Weigh drift

If a change touches a dependency that is already behind, your DriftScore from a scan gives the reviewer context on upgrade risk:

vg scan

Why grounded review is better review

Grounded context turns vague AI commentary into specific, checkable claims: this method does not exist in your version; this change reaches these callers; these tests cover it. That is the difference between review theater and review that catches real defects.

Related

  • Serving the code map and drift to AI
  • Why version-correct docs matter for AI
  • Connecting Vibgrate AI Context to your AI assistant

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