What makes diffray different from other AI code review tools?

diffray uses multi-agent intelligence instead of single-model AI. Multiple specialized agents work together - Security Agent, Performance Agent, Architecture Agent, and Consistency Agent - each expert in their domain. This coordinated approach reduces false positives by 87% and catches 3x more real bugs compared to traditional single-agent tools like GitHub Copilot or CodeRabbit.

How does multi-agent AI code review work?

Multi-agent AI code review deploys specialized agents that work in parallel, each focused on a specific domain: security vulnerabilities, performance bottlenecks, architectural patterns, and code consistency. Unlike single-model approaches that suffer from context dilution, each agent maintains deep expertise in its area. Research shows this approach improves bug detection by 3x while reducing noise.

Is diffray free for open source projects?

Yes, diffray is completely free forever for open source projects. We support the open source community with full access to our multi-agent code review platform, including all specialized agents, unlimited reviews, and priority support.

What programming languages does diffray support?

diffray supports all major programming languages including TypeScript, JavaScript, Python, Go, Rust, Java, C#, Ruby, PHP, and more. The multi-agent system is language-agnostic and adapts its analysis to language-specific patterns and best practices.

How does diffray integrate with GitHub?

diffray integrates seamlessly with GitHub through a GitHub App. Once installed, it automatically reviews every pull request, posting actionable comments directly on the PR. Setup takes less than 2 minutes with no configuration required. Enterprise teams can also use diffray CLI for local reviews before pushing code.

What is the difference between diffray and CodeRabbit or GitHub Copilot?

While CodeRabbit and GitHub Copilot use single-model AI that can hallucinate and produce false positives, diffray employs multi-agent intelligence where specialized agents cross-validate findings. This results in 87% fewer false positives. Additionally, diffray provides full codebase awareness, custom rule support, and agent memory that learns from your team's patterns.

Can diffray detect security vulnerabilities?

Yes, diffray's Security Agent is specifically trained to detect OWASP Top 10 vulnerabilities, injection attacks, authentication flaws, and sensitive data exposure. It analyzes code in context of your entire codebase, reducing false positives while catching real security issues that static analysis tools miss.

How much does diffray reduce code review time?

According to our customer data, teams using diffray reduce PR review time by 73% on average - from 45 minutes to 12 minutes per week. This is because diffray's multi-agent system produces 87% fewer false positives, so developers spend time on real issues instead of filtering noise.

What is the developer action rate on diffray comments?

diffray achieves a 98% developer action rate on its comments, compared to industry average of 15-20% for traditional AI code review tools. This high engagement is due to our multi-agent approach that eliminates noise and surfaces only actionable findings with confidence scores.

How does diffray handle duplicate comments?

diffray guarantees zero duplicate comments through its intelligent deduplication system. Unlike single-agent tools that often flag the same issue multiple times across a PR, diffray's agents coordinate to consolidate findings and present each issue exactly once with full context.

Does diffray store my code?

No, diffray never stores your source code. Code is processed in memory during the review and immediately discarded. We are SOC 2 compliant and your code is never used for AI training. Enterprise customers can also use our on-premise deployment option for complete data sovereignty.

How does diffray compare to GitHub Copilot code review?

While GitHub Copilot uses a single AI model for code review, diffray employs specialized multi-agent intelligence. Research shows multi-agent systems catch 3x more real bugs while producing 87% fewer false positives. diffray also provides full codebase awareness, custom rules, and agent memory - features not available in Copilot's code review.

How do I install the diffray GitHub App?

Visit the GitHub Marketplace, search for 'diffray', click Install, and select which repositories to enable. The entire process takes about 2 minutes.

Does diffray work with GitHub Enterprise?

Yes. diffray supports both GitHub.com and GitHub Enterprise Server. For Enterprise, contact us to set up a dedicated connection.

What permissions does diffray need?

diffray needs read access to repository code and write access to pull request comments. We follow the principle of least privilege and never store your code.

Can I use diffray with private repositories?

Yes. diffray works with both public and private repositories. Your code is processed securely and never stored permanently.

How does diffray handle large monorepos?

diffray analyzes only the changed files in each PR, not the entire repository. We support repos with up to 100,000 files.

GitHub Integration

Native GitHub App for AI code review. Install in 2 minutes, get intelligent feedback on every pull request.

Seconds

Setup time

100k+

PRs reviewed

AI Agents

Install GitHub App View Pricing

Why Teams Choose GitHub + diffray

2-Minute Setup

One-click install from GitHub Marketplace. No webhooks to configure, no tokens to manage.

Native PR Comments

Review feedback appears as inline comments on changed files, just like human reviewers.

Security First

SOC 2 compliant. Code is processed securely and never stored. Read-only access by default.

Enterprise Ready

Works with GitHub Enterprise Server. SSO, audit logs, and dedicated support available.

Team Permissions

Respect your GitHub permissions. Only reviewers see full findings, others see summaries.

Private Repos

Full support for private repositories. Your code never leaves secure processing.

Get Started in 4 Steps

Install diffray on your GitHub repos and get AI code review on every pull request

Install the App

Go to GitHub Marketplace and click 'Install'. Select your organization or personal account.

Choose Repositories

Select all repos or specific ones. You can change this anytime in GitHub settings.

Configure (Optional)

Add a .diffray folder to customize agents, rules, and severity thresholds.

Open a PR

Create a pull request. diffray automatically reviews and posts findings within minutes.

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What You Get

11 Specialized AI Agents

Security Agent - OWASP Top 10, secrets detection
Performance Agent - bottlenecks, memory leaks
Bugs Agent - logic errors, edge cases
Quality Agent - code smells, anti-patterns
Architecture Agent - design patterns, SOLID
Testing Agent - coverage gaps, test quality

Powerful Customization

Custom rules - enforce your team's standards
Playbook - turn PR comments into rules
Severity thresholds - filter noise
File exclusions - skip generated code
Agent toggles - enable only what you need
Team-wide defaults - consistent config

Frequently Asked Questions

Ready to Get Started?

Install the GitHub App and get AI code review on your next PR. Free tier includes 100 reviews per month.

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