AI code reviews that catch real bugs.

Reviewate runs multiple AI agents on every PR. Every finding is verified against your actual codebase. No hallucinations.

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Bug

Potential null reference at line 42. user.profile.settings can be undefined when the user hasn't completed onboarding. Add a null check before accessing nested properties.

42 const theme = user.profile.settings.theme;

42 const theme = user.profile?.settings?.theme ?? 'default';

src/components/Dashboard.tsx

Recall (number of bug caught)

Precision

<3 min

per review, any PR size

Benchmarked with Gemini 3 Flash on 50 real PRs across Sentry, Grafana, Keycloak, Cal.com & Discourse.

Based on the Augment Code benchmark. Full results and methodology available at: Source

Finds real bugs

Not linting. Catches null refs, race conditions, security flaws. Every finding is fact-checked against your codebase.

Open source, self-hosted

AGPL v3. Run on your infrastructure. Your code never leaves your network.

Any LLM, any platform

OpenAI, Anthropic, Google, or any compatible provider. GitHub & GitLab. Docker or Kubernetes.

Six stages. Every finding verified.

Issue Explorer

Analyze (×2)

Synthesizer

Deduplicate

Fact-Check

Style

Works with your stack

Quick Start

# Deploy with Docker Compose

$ git clone https://github.com/numberly/reviewate

$ cp .env.example .env

$ docker compose --profile all up -d

Configuration

Choose your LLM — OpenAI, Anthropic, Google, or any OpenAI-compatible API
Custom review rules per repository
Tune pipeline stages and model parameters
Docker & Kubernetes deployment with full control
AGPL v3 licensed — fork, modify, contribute

Start catching bugs before your users do.

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