Turn yourbest reviewerinto reusablecontext.
I

The Reviews

Your best engineering judgment is already in your pull requests. Libra ingests review comments, code discussion, outcomes, and changed files to capture how your strongest reviewers actually think.

PR commentsReview historyMerged outcomes
FLOW // 01INPUT: pull requests and reviews
II

The Judgment Graph

Libra turns raw review activity into structured review intelligence. It extracts recurring standards, maps them to files and systems, links related decisions, and builds a repo-specific context graph of how good engineering judgment gets applied.

Pattern extractionRepo context graphLinked standards
FLOW // 02OUTPUT: structured review intelligence
III

The Next PR

When new code is opened for review, Libra brings forward the most relevant standards, past judgments, and repo context. Engineers and agents can review with the same context your best reviewers would have used.

Review guidancePast precedentHigher-signal feedback
FLOW // 03LOOP: past reviews → graph → better reviews

Technical architecture

How Libra works

Ingest review history first.

Libra connects to a GitHub repo, pulls historical PRs and review comments, and structures the raw activity into reusable review data.

Extract judgment, not just text.

It identifies review patterns, links them to code areas and entities in the repo, and builds a context graph that reflects how your team's best reviewers make decisions.

Use the right context at review time.

For each new PR, Libra surfaces the most relevant standards, precedents, and repo-specific signals so feedback is more consistent, faster, and easier to scale.

"Libra makes expert review judgment reusable."

Reusable judgment for every pull request.

Capture review standards once. Bring the right engineering context into every future review.

Get started on librahq.app