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 SaaS teams ship faster?

diffray reviews PRs in minutes instead of hours, unblocking developers. AI catches bugs early, reducing hotfixes. Consistent reviews mean less back-and-forth, accelerating the entire development cycle.

Can diffray prevent production incidents?

Yes. diffray's 11 AI agents catch security vulnerabilities, performance issues, and logic bugs before they reach production. Early detection is always cheaper than production hotfixes.

Does diffray work with CI/CD pipelines?

Yes. diffray integrates with GitHub and reviews PRs automatically. It works alongside your existing CI/CD pipeline, providing feedback before merge.

专为 SaaS 打造

更快交付功能。减少故障。

您的 SaaS 在功能速度上竞争。diffray 让您同时拥有速度和质量——AI 代码审查在几分钟内发现 bug，而不是几天。

更快的审查

87%

更少噪音

AI 代理

98%

行动率

为什么 SaaS 团队选择 diffray

速度和质量不是权衡取舍。通过 AI 驱动的代码审查，两者兼得。

更快交付功能

AI 在几分钟内审查 PR，而不是几小时。解锁开发人员，加速您的发布周期。

更快的合并时间

更少的生产环境 Bug

在逻辑错误、边缘情况和安全问题到达客户之前捕获它们。

87%

更少的误报

规模化保持质量

随着团队增长，通过自动化标准执行保持代码质量一致。

98%

开发人员行动率

默认安全

每个 PR 都会扫描 OWASP Top 10 漏洞和机密暴露。

专业 AI 代理

SaaS 开发挑战，已解决

功能速度 vs. 代码质量

产品希望功能昨天就发布。工程想要适当的审查。总有人输。

AI 审查是即时的。快速交付并保持质量——不再有权衡。

团队增长，标准不一致

每个新员工带来不同的习惯。代码模式分歧。技术债务积累。

diffray 在每个 PR 上执行您的标准。新员工通过一致的反馈学习。

因遗漏 bug 导致的生产事故

人类审查者会遗漏边缘情况。凌晨 2 点的 P1 比预防成本高得多。

11 个专业代理捕获人类遗漏的内容。在合并前修复 bug 更便宜。

高级工程师困在审查中

您最好的工程师花费 30% 以上的时间审查 PR 而不是构建架构。

AI 处理常规审查。高级工程师专注于设计决策和指导。

适配您的工作流程

diffray 与您现有的开发工作流程集成。安装一次，自动在每个 PR 上获得审查。

GitHub

CI/CD 流水线

Slack 通知

自定义 Webhooks

审查显示为 PR 评论
无需切换上下文
支持私有仓库
遵守分支保护规则

几秒钟完成设置

1
安装 GitHub App
2
选择仓库
3
打开 PR
4
获取 AI 审查

SaaS 常见问题

准备好更快交付了吗？

加入使用 diffray 以创业速度交付优质功能的 SaaS 团队。

每月 100 次免费审查

无需信用卡

几秒钟设置

探索更多解决方案

For E-commerce

Retail & marketplace platforms

快速且安全

PCI-DSS 和 SOC 2

Hooks 和组件

类型安全和泛型

更快交付功能。 减少故障。