Whole-codebase context

Reviews the diff against your full repository graph and symbols, not the diff in isolation. Grounded on GKS.

The brain matters

Inter-PR collision detection

Flags every other open PR touching the same functions, a conflict class point tools structurally can't see.

Unique to Garth

Impactful, not noisy

One prioritized review, critical to low. 85% of reviewer work handled, so humans spend time on judgment, not nits.

Minutes, not hours

Governed by design

Reads only what the job needs, filtered at intake through GKS. Writes back only through your keys. Cloud, VPC, or on-prem.

Your data stays yours

A real review

This is what lands on the PR.

Not a wall of style nits. One assessment, findings ordered by what will actually hurt you in production, with the fix, the file, and the line.

Severity-first, so reviewers know where to look.

GReview opens with a verdict, then groups findings by impact. A hardcoded secret and a breaking API change surface first. Duplicate formatting logic sits at the bottom, where it belongs. Your reviewers read top-down and stop when the risk runs out.

Security that matters

Hardcoded live secrets, SQL injection, unsafe input handling, caught before merge, not in an incident report.

Breaking-change detection

New required parameters whose callers weren't updated: the runtime TypeError your tests would've found in prod.

Logic, performance & quality

N+1 patterns, edge cases, and duplicated logic, each with a concrete, apply-ready fix.

Every review can surface

Security vulnerabilities Breaking API & integration Performance & N+1 Runtime & logic errors Inter-PR conflicts Performance profile Code quality & duplication

85%

of reviewer work handled on the first pass. GReview speeds your reviewers up. It does not replace them.

Garth PR Agentcheckout & bulk-billing · reviewed just now

Do not merge

Overall Assessment

The goals are legitimate, but the implementation is critically flawed and should not be merged in its current state. It carries multiple severe security vulnerabilities plus breaking API changes that will cause runtime errors in production.

🔴 CRITICALSecuritycheckout.py:8

Hardcoded live Stripe secret key

A live secret key is hardcoded as a module-level constant and leaked further via a print statement, an immediate security-incident risk. Revoke and rotate the key, then move it to a secrets manager.

🔴 CRITICALSecuritybilling.py:24

SQL injection in process_bulk_billing

User IDs are interpolated directly into the query string. Use parameterized queries or an ORM to remediate.

🟠 HIGHIntegrationnotification.py:5

Breaking signature change to send_alert()

A new mandatory channel parameter is not reflected in its existing caller in billing.py, guaranteeing a TypeError at runtime. Update all call sites and add a regression test.

🔵 PERFPerformancebilling.py:22

N+1 query pattern at scale

A blocking loop issues one query per user (~5.0s for 1,000 users). A batched IN clause resolves it in a single round trip.

2 low-severity notes · code quality & exception handling▸ expand

6 findings across 4 files · conflicts with 2 open PRs · performance profile attached

Nobody else does this

It sees the PRs your reviewers can't hold in their head.

A reviewer looks at one diff at a time. GReview knows every open PR that touches the same functions, before two of them merge and quietly break each other.

Conflicts with Other PRsOpen PRs modifying functions also modified by this PR. Manual verification recommended.

Watching 2 open PRs

PR #1 by @SaphireFire feature/payment-logging

process_payment · payment.py process_refund · payment.py

PR #2 by @SaphireFire demo-pr

process_payment · payment.py process_refund · payment.py process_bulk_billing · billing.py generate_invoice · billing.py process_checkout · checkout.py format_price · checkout.py send_alert · notification.py

Beyond a linter

It reasons about how the code will actually run.

GReview profiles the change, ranks the real hot paths, and hands back a fix with the numbers to justify it, the kind of insight a static reviewer never surfaces.

Top optimization targets

1

DatabaseConnection.executeapp/database.py · sequential in a loop

~98%

2

process_bulk_billingapp/services/billing.py · distinct query per user

~99%

3

simulate_workloadmain.py · invokes the unoptimized service

100%

Before · N+1 pattern

After · batched query

# 1 query per user
for user_id in user_ids:
  status = db.execute(
    f"...WHERE user_id = {user_id}"
  )

# single round trip
ids = ",".join(map(str, user_ids))
statuses = db.execute(
f"...WHERE user_id IN ({ids})"
)

Execution profile · 1,000 users1,000 queries · ~5.0s

Execution profile · 1,000 users1 query · ~0.005s

1,000×

faster on the hot path, measured, not estimated

The economics of review

Catch the regression in review, not in production.

A defect that reaches production costs many times what it costs to catch in review. GReview reads the whole codebase on the first pass, against your guardrails, so far more is caught before it ships.

Cost to fix the same defectIllustrative · based on published defect-escape multiples

Caught in review

baseline

Caught in production

many times more

Measured across GReview deployments

0%

Review time reduced

3.1×

Regressions caught pre-merge

0%

Review comments acted on

GReview speeds your reviewers up. It does not replace them.

How it works

Every review runs through the governed boundary.

GReview never touches your systems directly. It reads through GKS, the governed knowledge layer you control, and posts back only through your keys.

1

Asks GKS

On a new PR, GReview requests the context it needs from GKS: your repository graph and org context.

2

Policy & guardrail check

GKS checks policy and guardrails at intake, releasing only what this job is authorized to see.

3

Pulls only the diff it needs

Scoped context: the diff, the relevant symbols, your coding standards, and open PRs, nothing beyond it.

4

Posts a scoped review

A prioritized, actionable review lands on the PR, written back to your environment through your key.

Configured in Garth Universe

Your repos, your rules. Set once, enforced on every PR.

Garth Universe is the control plane. Choose which repos GReview watches, author your own guardrails and architecture rules, decide when it runs, and route it through your own model keys.

universe.heygarth.ai / agents / pr-review

PR Review Agent

Active · monitoring your connected repositories

Auto ReviewGarth automatically reviews each PR the moment it's raised. Turn off to trigger manually with garth-rr in a comment.

Guardrails & architecture rules6 active

BLOCK

No secrets or credentials committed to sourceFails review on hardcoded keys, tokens, and connection strings

BLOCK

Database access must go through the repository layerEnforces your architecture boundary, no raw queries in services

WARN

Public API changes require a changelog entryFlags breaking signature changes with no migration note

Author a rule

Files to exclude

*.test.jsdocs/**node_modules/***.generated.ts

Destination branches to exclude

developstaging

Repositories14 connected · 11 active

payments-servicePythonenabled

web-checkoutTypeScriptenabled

infra-terraformHCLexcluded

Model & context routing

Anthropic · connectedOpenAI · connectedJira · business context

~5 min setup Connect a repo and GReview is reviewing PRs out of the box. Every configuration after that is a click away in Universe.

Data Governance

Your data stays yours.

Agents never touch your systems directly. Everything reads through GKS, the governed boundary you control, and every action writes back only through your keys.

01

You choose what connects

GKS ingests only the sources you authorize. Nothing you have not connected ever enters.

02

Only what the job needs

Each agent gets the exact data required to do its work, filtered at intake, and nothing beyond it.

03

Guardrails at the boundary

Agents read from GKS, never your host systems. Misuse stops at the boundary, not inside your stack.

04

Every action needs your keys

When an agent writes back to a system, it goes through credentials you provision, scope, and revoke at will.

GKS runs

Garth Cloud

In your VPC

On-prem

GKS runs in Garth Cloud. Your systems stream in over an encrypted, governed channel. Fastest to start, nothing to host.

Where GReview stands apart

Everyone owns a slice. Garth owns the layer.

Point tools each read one signal. GReview grounds review on the same shared brain as security, release, and ROI, so it sees what none of them can.

Capability	GReview	CodeRabbit	Greptile	Copilot
Whole-codebase context, not just the diff	✓	~	~	–
Inter-PR collision detection	✓	–	–	–
Team guardrail enforcement	✓	~	–	–
Runtime performance profiling	✓	–	–	–
Prioritized review, not comment spam	✓	~	~	~
Governed data boundary · VPC / on-prem	✓	~	~	–
One shared brain across review, security & release	✓	–	–	–

✓ Full~ Partial– None

The wedge is competitive. The platform is not.

The number leaders can defend

Roughly $150K of value per 10-engineer team.

Reclaimed review time, faster merges, and fewer escaped defects. Move the sliders to your team and see the return.

Your team

Active developers25

Fully-loaded cost / dev / month$12,000

PRs per month (team)200

Hands-on review time / PR45 min

Avg PR wait time18 h

Your return with GReview

$202K

estimated annual value for your team

Current monthly review cost$19,350

GReview cost (25 devs × $18)$450

Net monthly savings$16,800

Return on GReview spend38× / $1

Illustrative model. Assumes GReview handles ~85% of first-pass review work and cuts PR wait time ~95%, with a bounded per-PR context-switch cost. PR-review impact only. Real value is typically higher across the wider workflow.

Pricing

Priced per developer, billed on who's active.

GReview bills on active developers, a contributor active in the trailing 30 days. Dormant seats are never charged.

Most teams start here

Standard

$18/ active dev / mo

Billed on active developers · annual billing available

Whole-codebase review, grounded on GKS
Inter-PR collision detection
Auto-fix workflow
Review & repo analytics
GitHub, GitLab & Bitbucket · Slack

Start a pilot

Enterprise

$24–40/ active dev / mo

Everything in Standard, plus:

SSO / SAML & audit logs
Custom guardrails & rules
Private model routing · BYOK
VPC & on-prem deployment
Priority support with SLA

Contact sales

Design-partner program

Building with the first cohort? Design-partner rates from $10–$12 / dev, plus a 3-week all-features trial with your own key. Bring your own model key and the price drops about a third.

Every plan includes GKS (the knowledge backbone), GAssist, and G-IDE.

Who it's for

Built for teams shipping faster than they can review.

Fast-growing startups

Consistent quality across a fast-changing codebase
Faster onboarding for new developers
Senior time back for architecture, not nits

Distributed teams

Immediate feedback regardless of time zone
Eliminated 24-hour review wait cycles
Fewer revision loops after human review

Enterprise orgs

Standardized code quality across every team
30–45% fewer security issues
Guardrails enforced centrally, on every PR

Security-sensitive orgs

Governed data boundary through GKS
VPC or fully on-prem deployment
Write-back only through your own keys

Govern the code
your AI writes.