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.

Why do I need special review for contractor code?

Contractors often work with less context about your codebase, architecture decisions, and team conventions. diffray ensures their code meets your standards and integrates properly — catching issues before they become technical debt.

Can diffray enforce our internal coding standards on external code?

Yes. Your Playbook and custom rules apply to all PRs equally. Contractors get the same feedback your internal team does, learning your patterns and conventions through the review process.

How does it help with security concerns from external code?

The Security agent scrutinizes all code for vulnerabilities, but pays extra attention to patterns common in outsourced code — hardcoded credentials, insecure dependencies, and authentication bypasses.

Does it reduce the burden on internal reviewers?

Significantly. AI handles the routine quality checks, so your internal team only needs to review architecture decisions and business logic — not formatting and basic security issues.

For teams working with contractors

Trust External Code
Without Blind Trust

Contractors help you ship faster. But their code needs oversight. diffray ensures external code meets your standards without drowning your team in reviews.

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The Contractor Paradox

You hire them to save time. Reviewing their code takes time.

Less Context

Contractors don't know your history, your architecture decisions, or your unwritten rules.

Different Standards

They bring patterns from other projects. Sometimes good, sometimes incompatible with yours.

Security Blind Spots

External code needs extra scrutiny. Hardcoded credentials, insecure patterns, backdoors.

Review Overhead

Your team spends more time reviewing contractor code than writing their own.

Quality Control Without Micromanagement

AI handles the checklist. You handle the strategy.

Enforce Your Standards

Contractors get the same feedback your team does. They learn your patterns through the review process.

"This project uses dependency injection. See AuthService for the pattern."

Security Screening

Extra scrutiny for common contractor security issues — hardcoded values, insecure dependencies, auth bypasses.

"Hardcoded API key detected. Use environment variables per security policy."

Architecture Alignment

Catch when external code doesn't fit your architecture. Prevent accidental tech debt.

"This creates direct DB access. We use repository pattern — see /docs/architecture.md"

Reduce Review Burden

AI handles the checklist. Your team focuses on business logic and integration questions.

Pre-filtered PRs: formatting, security basics, conventions already checked

Clear Quality Gates

AI + Human = Complete coverage

Code style & formattingAutomated

Security vulnerability scanAutomated

Architecture complianceAutomated

Dependency reviewAutomated

Business logic reviewHuman

Integration verificationHuman

FAQ

Scale With Confidence

Use contractors to move fast. Use diffray to stay safe.