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 does diffray help with framework migrations?

You define rules for the new framework's patterns — App Router instead of Pages Router, server components instead of client, etc. diffray enforces these on every PR, catching when developers use old patterns out of habit.

Can it support incremental migrations?

Absolutely. You can have rules that allow old patterns in certain directories while enforcing new patterns in migrated areas. The boundary moves as your migration progresses.

What migrations does it support?

Any migration you can express as code patterns: React class to hooks, REST to GraphQL, CommonJS to ES modules, Express to Fastify, Vue 2 to Vue 3, Angular upgrades, and more.

How do I prevent regression to old patterns?

Once an area is migrated, rules prevent introducing old patterns. New code in migrated areas must use new patterns — no going backwards.

For teams modernizing their stack

Migrate Frameworks
Without the Mess

Framework migrations fail when old patterns creep back in. diffray enforces new patterns on every PR, keeping your migration on track.

React (CRA) → Next.js

Express → Fastify

REST → GraphQL

Class Components → Hooks

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Why Migrations Fail

It's not the migration. It's the maintenance.

Old Habits Die Hard

Developers keep using old patterns because muscle memory. New code uses old conventions.

Inconsistent Codebase

Half migrated, half legacy. No clear boundary. New features use random mix of patterns.

Regression to Old

Migrated areas get polluted with old patterns. Progress reverses without constant vigilance.

Knowledge Gaps

Not everyone knows the new framework equally. Quality varies by who wrote the code.

Migration That Sticks

AI ensures new patterns stay new

Pattern Enforcement

Define new framework patterns as rules. AI enforces them on every PR, catching old habits automatically.

"Use server components for data fetching. Client components are for interactivity only."

Boundary Management

Define which directories are migrated. Old patterns allowed in legacy areas, blocked in new areas.

"This file is in /app (migrated). Use App Router patterns, not Pages Router."

Migration Guidance

AI explains how to convert old patterns to new. Every review is a teaching moment.

"Replace getServerSideProps with async Server Component. See migration guide: /docs/migration.md"

Progress Tracking

See how much of your codebase is migrated. Celebrate progress, identify stragglers.

"73% of components migrated to hooks. 12 class components remaining in /legacy."

Common Migrations We Support

React (CRA)Next.js

Pages Router → App Router

ExpressFastify

Middleware → Plugins

RESTGraphQL

Endpoints → Resolvers

Class ComponentsHooks

lifecycle → useEffect

CommonJSES Modules

require → import

Vue 2Vue 3

Options API → Composition API

FAQ

Modernize.
Stay Modern.

Migrate once. Enforce forever.