For teams whose AI agents outpace human review capacity

Turn AI-generated PR volume into safe human review actions.

Reviewz shows what to inspect first, why it matters, where to start, and what evidence still needs to be verified in GitHub.

  • Built for GitHub
  • Advisory only
  • Humans decide

Safe means workflow-safe, not merge-safe. Final review stays in GitHub.

Request beta accessSee sample safe action

Code is becoming abundant. Reviewer attention is not.

Sample safe review action

See the path to a human review decision before opening the diff.

PR #1842 — Deep review recommended

Decision to make
Can this session-policy change be reviewed confidently without revoked-session regression coverage?
Start here
src/auth/session_policy.ts — this file carries the review decision.
Then verify
tests/auth/session_policy.test.ts — verify revoked-session coverage.
GitHub confirms
PR is open.Head SHA observed.CI status observed.Required checks remain final in GitHub.
Reviewz infers
Auth/session behavior changed.Sensitive path touched.Regression evidence appears limited.
Not visible to Reviewz
No visible regression test covers expired refresh token + revoked session.
Next safe action
Open GitHub PR, review the session policy change first, then verify or request missing regression coverage.

Advisory · Not a merge decision. Illustrative example, not customer data. Final review stays in GitHub.

Request beta access

Request beta access before connecting any repository.

Problem

AI made code generation faster. It did not make review decisions easier.

Developers now direct agents that create, revise, test, and open pull requests in parallel.

That creates a new bottleneck: deciding what deserves human attention, how much review it needs, and what evidence must still be verified before GitHub gets the final decision.

More pull requests

More changes enter review than senior reviewers can deeply inspect.

More drafts

Work in progress reaches the queue before formal review is appropriate.

Large diffs

Generated changes often arrive with less human-written context.

Sensitive paths

Auth, billing, infra, data, workflows, and permissions need scarce expertise.

Diff noise

Lockfiles, generated files, and dependency updates can hide the real review surface.

Evidence gaps

Agent summaries and testing claims still need human verification.

Product

From PR lists to safe review actions.

Reviewz compiles GitHub facts and review signals into one clear action per pull request: inspect a draft, open a review brief, verify in GitHub, follow specialist guidance, or use historical context only.

Prioritize useful action

Reviewz surfaces the next useful review action, not just the riskiest-looking PR.

Explain why now

Sensitive paths, large diffs, stack context, dependency impact, missing evidence, and update signals are summarized for the reviewer.

Calibrate review depth

Quick, standard, deep, specialist, or draft inspection: Reviewz helps match human effort to the actual decision.

Start where the decision lives

Begin with the file that carries the review decision, not the biggest diff or the noisiest lockfile.

Show evidence and uncertainty

Reviewz separates what GitHub confirms, what Reviewz infers, and what is not visible to Reviewz.

Finish in GitHub

GitHub remains the source of truth for files, checks, comments, approvals, request changes, and merge.

Differentiation

Not another AI code reviewer. The attention layer before human review.

Most AI code review tools focus on what a model found inside one PR.

Reviewz answers a different question: what should a human reviewer verify next?

GitHub
RoleSource of truth for PRs, files, checks, comments, approvals, and merge.
CI
RoleRuns configured checks.
AI code reviewers
RoleComment inside individual PRs.
Reviewz
RoleRoutes human verification across PRs.

Reviewz focuses on review guidance, not inline comment volume. It helps teams decide which PR needs human review, why now, where to start, and what still needs proof.

Trust / Security

Advisory by design.

Reviewz prepares the review path without approving, blocking, claiming merge readiness, or replacing reviewer judgment.

Advisory · Not a merge decision.

Reviewz Check Runs are advisory review guidance, not approval or merge readiness. No merge authority.

Drafts and stale guidance stay safe.

Drafts are inspect-only. If the head changes, previous guidance is orientation only.

Required checks stay in GitHub.

Reviewz may observe check status, but GitHub remains final.

Uncertainty and fallback are visible.

Missing evidence or unavailable AI enrichment is surfaced, not hidden.

GitHub remains final.

Reviewz recommends where to look. GitHub confirms. Humans decide.

Read the full workflow and FAQ

FAQ

Frequently asked questions

Short answers for the home page. The detailed workflow lives in How it works.

Is Reviewz an AI code reviewer?

No. Reviewz is a review decision layer for humans.

It may use AI to enrich review guidance, but its job is not to approve code or replace reviewers.

Its job is to tell reviewers what human verification is needed next, where to start, and what evidence still needs to be checked in GitHub.

Can Reviewz approve or block a pull request?

No.

Reviewz does not approve, request changes, block merges, or claim merge readiness.

Reviewz guidance is advisory.

What happens when Reviewz is unsure?

Reviewz makes uncertainty visible.

A PR may be marked as needing GitHub verification, stale guidance, outside guidance, deterministic fallback, or historical context.

Does Reviewz send code to an LLM?

Reviewz can use AI enrichment to improve review guidance when enabled.

When AI enrichment is enabled, PR diff context is sent to the configured LLM provider (currently DeepSeek in Reviewz Cloud).

GitHub facts and deterministic safeguards remain the base layer.

If enrichment is unavailable, Reviewz falls back to deterministic guidance and surfaces that state.

Can we start with selected repositories only?

Yes.

GitHub authorization and Reviewz enablement are separate.

You choose which repositories GitHub authorizes, then choose which repositories Reviewz enables.

Reviewz only runs on repositories you enable.

Read the full workflow and FAQ

Access

Request access to Reviewz

Start with selected repositories and advisory review briefs.

Share one GitHub repository or organization and how your team uses coding agents. We review fit and reply with next steps.

Used only to assess beta fit before any repository connection.

Optional context
Coding agents used

No install is required to request access. Selected teams review GitHub App permissions before connecting repositories.