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.

Can I customize what diffray reviews?

Yes. You can enable/disable specific agents, add custom rules, configure severity thresholds, and create rules from past PR comments using our Playbook feature.

Use Case

Automated Pull Request Review

Review every PR in minutes, not days. AI-powered code review that scales with your team — without the bottlenecks.

80%

Reduction in review time

< 5 min

Average review time

100%

PRs reviewed

24/7

Always available

Code Review Doesn't Scale

Traditional code review becomes a bottleneck as your team grows

PRs Wait Days for Review

Senior engineers are bottlenecks. PRs sit in queue while reviewers juggle meetings, features, and firefighting.

Inconsistent Review Quality

Different reviewers catch different things. Code quality depends on who happens to be available.

Context Switching Kills Productivity

Reviewers lose hours per day switching between their work and reviewing others' code.

Scaling Reviews is Impossible

As your team grows, review bottlenecks grow faster. You can't hire your way out of this problem.

What diffray Delivers

Consistent, thorough code review on every PR — automatically

Instant Feedback

< 5 min

Average review time

Every PR gets reviewed within minutes, not days. Developers stay in flow and ship faster.

Consistent Standards

100%

PRs reviewed

Same thorough review every time. No more quality lottery based on who's reviewing.

11 Specialized Agents

AI agents

Security, performance, bugs, architecture — each domain gets expert-level analysis.

Continuous Learning

∞

Custom rules

Add custom rules from past mistakes. Your review process improves with every PR.

How PR Automation Works

Set it up once. Get feedback on every pull request automatically.

PR Opened

Developer opens a pull request on GitHub

Auto-Analysis

diffray clones repo, analyzes changes, loads your rules

Multi-Agent Review

11 specialized agents analyze security, performance, bugs, and more

PR Comment

Findings posted as native GitHub comments with suggested fixes

AI-Powered Review

From Bottleneck to Flow

Stop waiting for reviewers. diffray provides instant, consistent feedback so your team can ship with confidence.

Reviews every PR, every time

Catches bugs before human review

Frees senior engineers for high-value work

Works 24/7, never takes PTO

Before vs After diffray

Before

- PRs wait 2-3 days for review
- Senior engineers spend hours reviewing
- Inconsistent review quality
- Bugs slip through to production

After diffray

- Feedback in under 5 minutes
- Seniors focus on architecture
- Every PR gets thorough review
- Catch issues before merge

Teams Ship Faster with diffray

"Our review queue went from 15 PRs waiting to zero. Developers get feedback in minutes instead of waiting for senior engineers."

Alex Rivera

VP Engineering, Growth-Stage Startup

"I used to spend 2 hours a day reviewing PRs. Now I focus on architecture and mentoring while diffray handles the routine checks."

Jordan Park

Staff Engineer, Enterprise SaaS

Frequently Asked Questions

Does this replace human code review?

No. diffray handles routine checks (security, bugs, performance, style) so human reviewers can focus on architecture, design decisions, and knowledge sharing. Think of it as a first-pass filter that catches obvious issues.

Google Code Review Guide

How does it handle false positives?

Our AI validation layer filters out noise. You can also add custom rules to ignore specific patterns, and the system learns from your codebase over time.

Can I customize what it reviews?

Yes. You can enable/disable specific agents, add custom rules, configure severity thresholds, and even create rules from past PR comments using our Playbook feature.

Does it work with monorepos?

Yes. diffray handles monorepos, analyzes only changed files, and respects your repository structure. We support repos up to 100k files.

Monorepo Tools Guide

Stop Waiting for Reviews

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11 specialized agents

Reviews in under 5 minutes

GitHub integration