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.

真正有效的多智能体 AI 代码审查

多智能体协作。而非单模型猜测。

在此粘贴任意 GitHub PR 链接

查看更多 →

开源项目免费几步完成设置无需信用卡

87%

误报减少

更多真正 Bug 被捕获

98%

开发者采纳率

零

重复评论

*基于内部测试

Integrates with

GitHub GitLab Bitbucket On-Premise

Security & Compliance

SOC 2 Infrastructure

GDPR Ready

Code Never Stored

您是否正在忽视 AI 代码审查工具？

您不是一个人。以下是开发者对传统 AI 审查工具的看法：

噪音太多

"每个 PR 18 条评论。我可能只看 2 条。大多数只是我不关心的代码风格问题。"

— 中级开发者，50 人创业公司

遗漏真正问题

"它建议把 `e` 重命名为 `error`，却完全漏掉 SQL 注入漏洞。每次都是这样。"

— 高级工程师，金融科技公司

零上下文

"建议我们采用 3 个月前已经否决的重构模式。完全不记得我们的决策。"

— 技术负责人，B 轮公司

问题不在于 AI。

问题在于单智能体 AI.

猜测 vs 调查

看看 diffray 如何处理真实场景：PR 中的函数签名变更

单个 LLM

AI 响应：

"这改变了返回类型。确保调用方已更新。"

通用建议

没有具体位置

把工作留给你

diffray 智能体

智能体调查：

1. 搜索了 getUserData()

2. 发现 3 个调用点 存在类型不匹配

3. 检查测试覆盖—— 2 个测试需要更新

4. 影响： api/users.ts:47, hooks/useUser.ts:23

具体的文件路径和行号

已在实际代码库中验证

可立即修复的可操作发现

区别在于？调查，而非猜测。

如何开始

看看设置 diffray 并获得首次多智能体代码审查有多简单

使用 GitHub 登录

一键连接 GitHub 账户。无需复杂设置——只需授权即可开始。

安装 GitHub App

将 diffray 添加到您的组织或个人仓库。选择要启用的仓库——完全由您控制。

配置您的仓库

自定义审查设置，启用特定智能体，设置团队编码规范。

获取智能审查

打开 Pull Request，见证奇迹发生。几分钟内收到聚焦、可操作的反馈。

Real Issues. Real PRs.

Not mock examples — actual findings from production code reviews

diffray detecting duplicate library - moment-timezone when dayjs already exists

Understands Your Project Context

Detected moment-timezone being added when the project already uses dayjs. A linter can't catch this — it requires understanding the existing codebase.

diffray detecting non-transactional Stripe and Prisma updates

Catches Data Consistency Bugs

Found Stripe and database updates that aren't atomic. If one fails, payment data becomes inconsistent. Critical for fintech reliability.

diffray detecting race condition in concurrent promo code application

Finds Concurrency Issues

Concurrent requests can read stale data and overwrite each other. Suggests Prisma transactions with optimistic locking.

diffray detecting missing test coverage for new component

Catches Meaningless Tests

Found tests that exist but don't actually test the component. The test file looks complete, but the assertions are empty.

diffray detecting duplicate formatMoney function

Finds Duplicate Utilities

New formatMoney function duplicates existing formatPrice utility. Suggests reusing what's already there.

diffray detecting duplicate function within same PR

Spots Duplicates Within PRs

getStripePublishableKey defined identically in two files within the same PR. Extract to shared utility.

diffray detecting duplicate type definition across files

Prevents Type Drift

CalPromotionData type defined in both API and component files. Risking type drift as code evolves.

diffray detecting duplicate validation logic

Suggests Shared Schemas

Validation logic reimplements the same checks in multiple places. Suggests using shared Zod schema.

Real findings from cal.com open-source code reviews

diffray 多智能体系统工作原理

多个专业阶段协同工作，找到真正重要的问题

PR Event

Analysis

Specialized Agents

Security

Performance

Bugs

Quality

Dedup

Review

PR Event

Context Analysis

Specialized Agents

Security

Performance

Bugs

Quality

Deduplication

Final Review

每个领域都有专业智能体

动态规则选择

学习团队模式

问题去重

全代码库感知

置信度评分过滤噪音

结果：3 条评论，3 条被修复

How diffray compares

See why teams switch to multi-agent AI

Feature	diffray	CodeRabbit	GitHub Copilot	SonarQube
Pricing	$9/dev/mo	$15/dev/mo	$19/user/mo	$150+/year
Multi-Agent AI
False Positive Rate	87% fewer	High	High	Very High
Developer Action Rate	98%	~20%	~15%	~15%
Full Codebase Awareness
Custom Rules
Zero Duplicate Comments
Free for Open Source		Limited		Community

View full comparison

切换到 diffray 的团队

"我们将每周 PR 审查时间从 45 分钟减少到 12 分钟。团队现在真正信任 AI 反馈了。"

— 工程经理，35 人 SaaS 创业公司

"CodeRabbit 每个 PR 给我们 20+ 条评论。我们忽略了大部分。diffray 给我们 3-4 条，总是精准的。"

— 技术负责人，B 轮金融科技公司

"代码库感知分析是颠覆性的。它发现了一个重复实现，本来会浪费我们 2 天时间。"

— CTO，AI 创业公司（20 名工程师）

Simple, transparent pricing

Pay per developer. Unlimited reviews.

Solo

$10/mo

1 developer

Team

$9/dev/mo

3-10 devs

Growth

$79/mo flat

11-25 devs

Scale

$149/mo flat

26-50 devs

Enterprise

Contact

50+ devs

All plans include:Unlimited reviewsAll AI agentsCustom rules14-day free trial

Free forever for open source

Research-Backed

Built on Proven Research

Our multi-agent approach is grounded in peer-reviewed research from leading institutions

40% improvement

"Multi-agent systems can boost visibility by up to 40% in generative engine responses through coordinated intelligence and cross-validation."

Princeton University & Georgia Tech

GEO: Generative Engine Optimization, 2024

View source

25% shift to AI

"By 2026, traditional search engine volume will decrease by 25% as AI-powered answers increasingly become the primary way users interact with information."

Gartner

AI Search Market Analysis, 2025

View source

60% effectiveness

"Code review is the single most effective technique for finding defects, with an average effectiveness of 60% compared to 25% for unit testing alone."

IEEE Software Engineering

Best Practices in Code Inspection, 2023

View source

87%

Fewer false positives with multi-agent review

vs. single-agent tools

More real bugs detected

cross-validation effect

98%

Developer action rate

vs. 15-20% industry avg

<5min

Review completion time

parallel agent processing

别再忽视 AI 代码审查

免费试用 diffray 14 天。无需信用卡。几步完成设置。

开始免费试用预约演示

开源项目永久免费随时取消无需销售电话您的代码从不存储

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