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.

关于 diffray

开发者真正信任的 AI 代码审查

由拥有 15 年以上支付安全经验的工程师打造

我们的故事

开发者们正在忽视 AI 代码审查，我们理解原因。现有工具存在根本性问题：

噪音太多

每个 PR 18 条评论，实际只看 2 条

遗漏真正问题

标记风格问题却漏掉关键 Bug

没有记忆

不记得团队决策或过去的审查

低置信度

将不确定的发现当作事实呈现

我们知道一定有更好的方法。

我们的使命

让 AI 代码审查变得确定性、可靠且值得信赖

我们相信 AI 代码审查应该是你可以真正依赖的。不是每次运行都变化的随机建议，而是一致的、可预测的分析，成为你开发工作流程的核心部分。当 diffray 标记问题时，你可以相信它是真实且可操作的。

核心价值观

创新

像团队一样思考的多智能体架构，而非试图做所有事情的单个 AI

信任

置信度评分过滤噪音，减少 87% 的误报

效率

通过并行多智能体分析提供快速反馈，不牺牲质量

开发者优先

由理解噪音、无用代码审查之痛的开发者打造

我们的不同之处

单智能体（传统）

✗一个 AI 试图处理所有事情
✗所有规则应用于所有文件
✗不记得决策
✗将不确定发现当作事实展示

多智能体（diffray）

✓每个领域的专业智能体
✓上下文感知的规则选择
✓学习团队模式
✓置信度评分过滤噪音

我们的技术

30+

专业智能体且持续增长（安全、性能、Bug、质量等）

1300+

内置规则且持续增长，覆盖 20+ 种语言和技术

75%

通过上下文感知分析减少处理时间

零

通过 PR 历史分析消除重复评论

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

对开源的承诺

我们相信回馈社区。这就是为什么 diffray 对开源项目永久免费。

无限制。无陷阱。只是为推动世界前进的项目提供强大的 AI 代码审查。

准备好开始了吗？

加入那些使用真正信任的 AI 构建更好代码的团队

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开源项目免费

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