Automated Pull Request Reviews with Full Codebase Context
Code Review Engine connects directly to your GitHub repositories, indexes your codebase AST into Pinecone vector storage, and leaves precise, inline code review comments on every pull request.
Installation
1-Click GitHub App
Architecture
Pinecone Vector RAG
Background Engine
Inngest Pipeline
Review Turnaround
Sub-second Webhook
Live GitHub Output
How reviews appear directly in your PR conversations
No dashboards required during code reviews. Code Review Engine posts structured markdown analysis with diffs right into your pull request.
Analyzed 3 files • 128 additions, 14 deletions
1. Architectural Summary
The pull request correctly introduces session invalidation routines. Vector retrieval confirmed that the token generation aligns with the session storage schema defined in prisma/schema.prisma.
2. Security & Correctness Audit
3. Suggested Code Modification
In features/auth/server/session.ts:42, protect against concurrent token invalidation races:
Key Features
Engineered for speed, context, and code reliability
Traditional linters only inspect syntax. Code Review Engine inspects architecture, logic, edge-cases, and cross-file dependencies.
Codebase Vector Indexing
Repository AST files are parsed into semantic chunks and embedded into Pinecone, giving the AI full contextual comprehension of your entire codebase.
Instant Webhook Triggers
Runs automatically on every pull_request.opened and synchronize event. Zero slash commands, zero setup friction, instant feedback.
Precise Inline Suggestions
Generates clean, syntax-highlighted code diff recommendations that developers can review, copy, or apply directly on GitHub.
Automated Security Audits
Catches potential security issues including exposed secrets, SQL injections, missing authorization checks, and unhandled promise rejections.
Inngest Workflow Pipelines
Background operations execute on reliable Inngest workflows with built-in retries, backoff handling, and zero server timeout restrictions.
Code Privacy Guaranteed
Your code is strictly used at runtime to generate review commentary. We never train foundational machine learning models on your private code.
Cross-File Impact Analysis
Tracks breaking interface changes, schema alterations, and downstream import regressions across all interrelated files in the pull request.
Automated PR Verdicts
Delivers clear, actionable verdicts—Approved, Changes Requested, or Informational—with structured executive summaries for reviewers.
Workflow
Up and running in less than two minutes
Connect your GitHub account, sync target repositories, and let the reviewer engine handle the rest.
Install GitHub App & Connect Repositories
Authorize the official Code Review Engine GitHub App on your personal account or organization with 1-click OAuth permissions. Select the target repositories you want automated reviews on with granular control.

Deep Codebase Vector Indexing
Select repositories to index. The background ingestion worker decomposes files into semantic Abstract Syntax Tree (AST) chunks and embeds them into your dedicated Pinecone vector namespace.

Automated Inline PR Reviews
Every PR opened or synchronized triggers an automated AI review via durable Inngest background pipelines, posting verdicts, actionable syntax suggestions, and security audits directly to GitHub.

Pricing
Simple, transparent pricing
Start for free on personal projects, or upgrade to Pro for unlimited reviews and priority background queues.
Free Plan
For developers and open-source contributors
- Up to 5 AI reviews per month
- Public and private repository support
- Full codebase vector indexing
- Community support
Pro Plan
For engineering teams shipping daily
- Unlimited AI reviews on all repos
- Priority background processing queue
- Public and private repository support
- Continuous Pinecone vector syncing
- Priority support
Start catching bugs before they hit production
Install the GitHub App today and experience contextual, automated PR reviews powered by full vector memory.