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.

Feito para agências

Qualidade em escala. Cada cliente.

Sua agência gerencia múltiplos clientes, múltiplas bases de código, múltiplos padrões. diffray garante qualidade consistente em cada projeto sem escalar sua equipe.

∞

Projetos

Agentes IA

Dashboard

100 revisões grátis/mês • Projetos ilimitados • Sem cartão

Por que agências escolhem diffray

Gerencie todos os projetos de clientes com qualidade consistente e menos overhead.

Gerenciamento multi-projeto

Revise código de todos os projetos de clientes em um único dashboard. Regras diferentes por cliente, qualidade unificada.

Configurações por projeto
Dashboard centralizado
Insights entre projetos

Padrões de segurança consistentes

Garanta que cada projeto de cliente atenda às melhores práticas de segurança. Detecte vulnerabilidades antes da entrega.

Cobertura OWASP Top 10
Detecção de secrets
Scan de dependências

Relatórios para clientes

Gere relatórios profissionais de qualidade de código para compartilhar com clientes. Demonstre o valor que você entrega.

White-label disponível
Exportação PDF
Análise de tendências

Problemas de agências resolvidos

Qualidade varia entre projetos

Diferentes desenvolvedores, diferentes padrões. Alguns projetos recebem revisão completa, outros apenas aprovação rápida.

diffray aplica revisão IA consistente a cada PR em todos os projetos, independente de quem está trabalhando.

Devs seniores são gargalo

Seus melhores desenvolvedores gastam 40% do tempo revisando em vez de construir funcionalidades faturáveis.

IA faz a primeira revisão, seniores focam em decisões de arquitetura e trabalho com clientes.

Confiança do cliente na entrega

Clientes se preocupam com qualidade do código quando não veem seus processos internos.

Compartilhe relatórios de revisão automatizados como prova de seus padrões de qualidade. Construa confiança com transparência.

Onboarding de novos membros

Novos contratados não conhecem convenções específicas do cliente. Eles introduzem inconsistências.

diffray ensina seus padrões através de feedback consistente. Novos devs se adaptam mais rápido.

Comece em minutos

Adicione diffray ao seu fluxo de trabalho em 4 passos simples

Instale o app

Conecte sua conta GitHub

Adicione projetos

Selecione repos de clientes

Configure regras

Defina padrões por cliente

Revise PRs

IA revisa automaticamente

Agências líderes confiam em nós

"Costumávamos gastar 2 horas por PR em revisão de segurança para clientes fintech. Agora diffray faz em minutos, e encontramos problemas que nosso processo manual perdia."

— Diretor Técnico, Agência Digital

"Os relatórios para clientes são revolucionários. Compartilhamos o dashboard do diffray com clientes para mostrar nosso compromisso com qualidade. Virou um diferencial de vendas."

— CEO, Consultoria de Software