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.

О diffray

AI Code Review, которому разработчики доверяют

Создан инженерами с 15+ годами опыта в платёжной безопасности

Наша история

Разработчики игнорировали AI code review, и мы понимали почему. У существующих инструментов были фундаментальные проблемы:

Слишком много шума

18 комментариев на PR, только 2 реально читают

Пропускает реальные проблемы

Придирается к стилю, пропуская критические баги

Нет памяти

Не помнит решения команды и прошлые ревью

Низкая уверенность

Неуверенные находки выдаёт за факты

Мы знали, что есть способ лучше.

Наша миссия

Сделать AI code review детерминированным, надёжным и достоверным

Мы верим, что AI code review должен быть таким, на который можно положиться. Не случайные предложения, меняющиеся при каждом запуске, а последовательный, предсказуемый анализ, который становится неотъемлемой частью процесса разработки. Когда diffray отмечает проблему, вы можете доверять, что она реальна и требует действий.

Ключевые ценности

Инновации

Мульти-агентная архитектура, которая думает как команда, а не один AI, пытающийся делать всё

Доверие

Оценка уверенности фильтрует шум, давая на 87% меньше ложных срабатываний

Эффективность

Быстрый фидбек без ущерба качеству через параллельный мульти-агентный анализ

Для разработчиков

Создан разработчиками, которые понимают боль шумных, бесполезных code review

Чем мы отличаемся

Одноагентный (традиционный)

✗Один AI пытается делать всё
✗Все правила применяются ко всем файлам
✗Нет памяти решений
✗Неуверенные находки выдаются за факты

Мульти-агентный (diffray)

✓Специализированные агенты по областям
✓Контекстно-зависимый выбор правил
✓Учится паттернам вашей команды
✓Оценка уверенности фильтрует шум

Наши технологии

30+

Специализированных агентов и продолжает расти (Security, Performance, Bugs, Quality и другие)

1300+

Встроенных правил и продолжает расти для 20+ языков и технологий

75%

Сокращение времени обработки через контекстно-зависимый анализ

Ноль

Дублирующихся комментариев благодаря анализу истории PR

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

Приверженность Open Source

Мы верим в отдачу сообществу. Поэтому diffray бесплатен навсегда для open source проектов.

Без ограничений. Без подвохов. Просто мощный AI code review для проектов, которые двигают мир вперёд.

Готовы начать?

Присоединяйтесь к командам, создающим лучший код с AI, которому они доверяют

Начать бесплатный период

Бесплатно для open source

Карта не требуется

Настройка за пару кликов