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 agencies manage multiple client projects?

diffray allows you to configure different rules and standards for each client project while maintaining consistent security and quality baselines. Manage all projects from a single dashboard.

Can we white-label diffray reports for clients?

Yes, on Business and Enterprise plans. Generate professional code quality reports with your agency branding to share with clients as part of your deliverables.

Does diffray work with client repositories we don't own?

Yes. diffray works with any repository you have access to review. Clients grant access to their repos, and diffray reviews PRs automatically.

专为代理商打造

规模化质量。每个客户。

您的代理商管理多个客户、多个代码库、多个标准。diffray确保每个项目的质量一致，无需扩大团队。

∞

项目数

AI代理

仪表板

每月100次免费审查 • 无限项目 • 无需信用卡

为什么代理商选择diffray

以一致的质量和更少的开销管理所有客户项目。

多项目管理

从单一仪表板审查所有客户项目的代码。每个客户不同规则，统一质量。

按项目配置
集中仪表板
跨项目洞察

一致的安全标准

确保每个客户项目符合安全最佳实践。在交付前发现漏洞。

OWASP Top 10覆盖
密钥检测
依赖扫描

客户级报告

生成专业的代码质量报告与客户分享。展示您交付的价值。

可用白标
PDF导出
趋势分析

代理商痛点已解决

项目间质量参差不齐

不同的开发者，不同的标准。有些项目得到彻底审查，有些只是走过场。

diffray对所有项目的每个PR应用一致的AI审查，无论谁在处理。

高级开发是审查瓶颈

您最好的开发人员花费40%的时间在审查上，而不是构建可计费功能。

AI处理首次审查，高级开发专注于架构决策和客户工作。

交付时的客户信任

当客户看不到您的内部流程时，他们会担心代码质量。

分享自动审查报告作为您质量标准的证明。通过透明度建立信任。

新成员入职

新员工不了解客户特定的约定。他们会引入不一致。

diffray通过一致的反馈教授您的标准。新开发更快上手。

几分钟内开始

通过4个简单步骤将diffray添加到您的代理工作流程

安装应用

连接您的GitHub账户

添加项目

选择客户仓库

配置规则

设置每客户标准

审查PR

AI自动审查

领先代理商的信任

"我们以前为金融科技客户每个PR花2小时进行安全审查。现在diffray几分钟就能完成，而且我们发现了手动流程遗漏的问题。"

— 技术总监，数字代理商

"客户报告改变了游戏规则。我们与客户分享diffray仪表板，展示我们对质量的承诺。这已经成为卖点。"

— CEO，软件咨询公司

代理商简单定价

一个计划覆盖所有客户项目

代理商首选

$149/月

所有项目无限审查

无限客户项目
所有11个AI代理
每项目自定义规则
团队仪表板
优先支持
白标报告(Business+)

从每月100次免费审查开始，随时升级

代理商常见问题

准备好扩展质量了吗？

加入使用diffray向每个客户交付一致代码质量的代理商。

无限项目

按客户规则

客户报告

探索更多解决方案

快速安全

一致审查

Hooks和组件

类型安全

规模化质量。 每个客户。