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.

Does diffray understand React hooks rules?

Yes. diffray's Bugs Agent knows React hooks rules including conditional hook calls, missing dependencies in useEffect, and stale closure issues. It catches common hook mistakes before they cause bugs.

Can diffray review Next.js App Router code?

Yes. diffray understands Next.js patterns including App Router, Server Components, Server Actions, and the latest Next.js best practices.

Does diffray check React component performance?

Yes. The Performance Agent identifies unnecessary re-renders, missing memoization, expensive computations in render, and bundle size issues in your React code.

React和Next.js专家

为React提供AI代码审查 React

diffray理解React。Hooks规则、组件模式、性能优化和可访问性——为现代React应用提供AI驱动的代码审查。

React18+

Next.js13+ App Router

Remix2.x

Gatsby5.x

Vite + React5.x

为React开发者构建

理解React模式、hooks和现代最佳实践的AI代理。

Hooks和状态

捕获React hooks违规、过时闭包和状态管理bug。

useEffect依赖
条件hooks
循环中的状态更新

性能

识别不必要的重新渲染、缺失的记忆化和bundle膨胀。

useMemo/useCallback
渲染优化
代码分割

可访问性

确保组件具有适当的ARIA和键盘支持的可访问性。

ARIA属性
键盘导航
焦点管理

组件设计

验证组件模式、props和组合最佳实践。

Prop类型
组件组合
Key prop使用

我们捕获的常见React问题

缺失useEffect依赖

过时数据、无限循环、竞态条件

Bugs代理验证依赖数组

不必要的重新渲染

UI缓慢、资源浪费、UX差

Performance代理发现缺失的记忆化

通过dangerouslySetInnerHTML的XSS

安全漏洞、数据窃取

Security代理标记不安全的HTML注入

缺失可访问性标签

屏幕阅读器无法使用、法律风险

交互元素的可访问性检查

为您的React栈定制规则

执行您团队的React模式。要求特定的hook用法、组件结构或可访问性标准。

为事件处理程序强制使用useCallback
在路由中要求error boundaries
验证表单的可访问性
检查适当的加载状态

.diffray/rules/react.yaml

rules:
  - id: react_use_error_boundary
    agent: bugs
    title: Routes need error boundaries
    description: All route components should
      have error boundaries for resilience
    importance: 8
    match:
      file_glob:
        - 'app/**/page.tsx'
        - 'pages/**/*.tsx'
    checklist:
      - Verify ErrorBoundary wraps component
      - Check for error fallback UI
      - Ensure errors are logged
    tags:
      - react
      - reliability
      - next-js