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 TypeScript generics?

Yes. diffray understands advanced TypeScript features including generics, conditional types, mapped types, and template literal types. It validates proper type constraints and usage.

Can diffray enforce strict TypeScript settings?

Yes. diffray validates code against strict mode requirements including strictNullChecks, noImplicitAny, and other compiler options for maximum type safety.

Does diffray check for type assertion abuse?

Yes. diffray flags unsafe type assertions (as any, as unknown), unnecessary type casts, and recommends type guards and narrowing for better type safety.

TypeScript 专家

AI 代码审查 TypeScript

diffray 理解 TypeScript。泛型、严格模式、类型守卫——AI 驱动的审查，打造类型安全的应用程序。

Node.js18+

Deno1.x

Bun1.x

NestJS10.x

tRPC10+

为 TypeScript 开发者打造

深度理解 TypeScript 类型系统的 AI 代理。

类型安全

捕获类型错误，验证泛型，并执行严格模式模式。

严格空值检查
泛型约束
类型收窄

运行时安全

发现编译器遗漏但会导致运行时错误的问题。

类型断言滥用
隐式 any
不安全转换

安全性

检测全栈 TypeScript 应用程序中的安全漏洞。

输入验证
SQL 注入
XSS 防护

性能

识别类型级别的性能问题和构建优化问题。

复杂类型
Bundle 影响
Tree shaking

我们检测到的常见 TypeScript 问题

类型断言 (as any)

绕过类型安全，运行时错误

标记不安全转换，建议类型守卫

缺少空值检查

Cannot read property of undefined

验证 strictNullChecks 模式

泛型中的隐式 any

类型信息丢失，bug

强制显式泛型约束

不安全的类型谓词

错误的类型收窄

验证用户定义的类型守卫

类型安全的自定义规则

执行团队的 TypeScript 标准。禁止不安全模式，要求严格类型。

禁止 'as any' 和不安全的类型断言
要求导出的显式返回类型
对 ID 执行品牌类型
验证 Zod/io-ts schema 使用

.diffray/rules/typescript.yaml

rules:
  - id: ts_no_unsafe_any
    agent: bugs
    title: No unsafe type assertions
    description: Avoid 'as any' and prefer
      type guards or unknown
    importance: 9
    match:
      file_glob:
        - '**/*.ts'
        - '**/*.tsx'
    checklist:
      - No 'as any' assertions
      - Use type guards for narrowing
      - Prefer unknown over any
    tags:
      - typescript
      - type-safety
      - strict-mode

TypeScript 常见问题

构建类型安全的应用

加入使用 diffray 进行专家 AI 代码审查的 TypeScript 团队。

严格模式验证

泛型检查

类型守卫验证

探索更多解决方案

React & Next.js

Hooks 与组件

并发与微服务

SaaS

多租户与 API

初创公司

快速安全发布

查看所有解决方案