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.

Use Case

Automated Security Code Review

Find vulnerabilities in every pull request — before they reach production. AI-powered security analysis with TruffleHog and Semgrep integration.

95%

Vulnerabilities caught before production

< 5 min

Average review time

700+

Secret types detected

24/7

Always-on protection

Security Reviews Are Broken

Traditional approaches to code security don't scale with modern development speed

Manual Security Reviews Take Forever

Security reviews take 2-4 hours per PR on average, blocking releases and creating bottlenecks. Teams waste 15+ hours per week on manual security checks.

Security Expertise is Expensive

Dedicated security engineers cost $150k-250k/year. Only 23% of companies have in-house AppSec teams. Most teams can't afford one.

Vulnerabilities Slip Through

83% of applications have at least one security flaw. Even experienced developers miss OWASP Top 10 vulnerabilities under time pressure.

Production Incidents Cost Millions

The average data breach costs $4.45M (IBM 2023). Finding issues in code review is 100x cheaper than production fixes. Early detection saves $1.5M on average.

What diffray Catches Automatically

Comprehensive vulnerability detection across all major security categories

Critical

Injection Attacks

SQL injection, XSS, command injection, and OWASP Top 10

OWASP Top 10

Critical

Exposed Secrets

API keys, passwords, tokens hardcoded in source code

TruffleHog GitHub

High

Authentication Flaws

Weak auth patterns, session issues, access control bypasses

OWASP Auth Cheat Sheet

High

Data Protection

PII exposure, insecure storage, encryption issues

OWASP Crypto Storage

Medium

Security Misconfigurations

CORS issues, insecure headers, debug mode in production

OWASP A05 Guide

Medium

Sensitive Data Logging

Passwords, tokens, or PII in logs and error messages

OWASP Logging Guide

How Automated Security Review Works

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

PR Created

Developer opens a pull request on GitHub

Auto-Triggered Review

diffray Security Agent automatically starts analysis

Deep Scan

TruffleHog + Semgrep + AI analyze every changed file

Instant Feedback

Security findings appear as PR comments within minutes

Enterprise-Grade Security Tools

Powered by TruffleHog + Semgrep + AI

We don't reinvent the wheel. diffray integrates the same security tools used by Fortune 500 companies, enhanced with AI for intelligent analysis.

TruffleHog

Detects 700+ types of secrets and credentials

Semgrep

Semantic analysis for OWASP vulnerabilities

Claude AI

Filters false positives, generates actionable fixes

Before vs After diffray

Before

- 2-3 hours per PR for security review
- Vulnerabilities found in production
- Inconsistent review quality
- Bottleneck on security team

After diffray

- Instant feedback on every PR
- 95% vulnerabilities caught pre-merge
- Consistent, thorough analysis
- Security team focuses on architecture

Trusted by Security-Conscious Teams

"diffray caught an exposed AWS key in a config file that our entire team missed. That could have been catastrophic."

Sarah Chen

Engineering Lead, FinTech Startup

"We used to spend 2-3 hours per PR on security review. Now it's automatic and more thorough than we ever were."

Marcus Johnson

CTO, SaaS Platform

Frequently Asked Questions

What types of vulnerabilities does diffray detect?

diffray detects OWASP Top 10 vulnerabilities including SQL injection, XSS, command injection, authentication flaws, exposed secrets, data protection issues, and security misconfigurations.

How is this different from SAST tools like SonarQube?

Traditional SAST tools generate hundreds of noisy alerts. diffray uses AI to filter false positives, provide context-aware analysis, and give actionable fix suggestions — not just vulnerability reports.

Does it work with my existing CI/CD pipeline?

Yes. diffray integrates with GitHub via webhooks. When a PR is opened, the security review runs automatically. No pipeline changes needed.

What security tools power the analysis?

diffray combines TruffleHog for secrets detection (700+ credential types), Semgrep for semantic code analysis, and Claude AI for intelligent validation and fix generation.

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TruffleHog + Semgrep included

Works on every PR

No configuration needed