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.

Hecho para agencias

Calidad a escala. Cada cliente.

Tu agencia gestiona múltiples clientes, múltiples bases de código, múltiples estándares. diffray asegura calidad consistente en cada proyecto sin escalar tu equipo.

∞

Proyectos

Agentes IA

Dashboard

100 revisiones gratis/mes • Proyectos ilimitados • Sin tarjeta

Por qué las agencias eligen diffray

Gestiona todos los proyectos de clientes con calidad consistente y menos sobrecarga.

Gestión multi-proyecto

Revisa código de todos los proyectos de clientes desde un solo dashboard. Diferentes reglas por cliente, calidad unificada.

Configuraciones por proyecto
Dashboard centralizado
Insights entre proyectos

Estándares de seguridad consistentes

Asegura que cada proyecto cumpla las mejores prácticas de seguridad. Detecta vulnerabilidades antes de la entrega.

Cobertura OWASP Top 10
Detección de secretos
Escaneo de dependencias

Reportes para clientes

Genera reportes profesionales de calidad de código para compartir con clientes. Demuestra el valor que entregas.

White-label disponible
Exportación PDF
Análisis de tendencias

Problemas de agencias resueltos

La calidad varía entre proyectos

Diferentes desarrolladores, diferentes estándares. Algunos proyectos reciben revisión exhaustiva, otros solo aprobación rápida.

diffray aplica revisión IA consistente a cada PR en todos los proyectos, sin importar quién trabaje en ellos.

Desarrolladores senior son cuello de botella

Tus mejores desarrolladores pasan 40% de su tiempo revisando en vez de construir funcionalidades facturables.

IA hace la primera revisión, los seniors se enfocan en decisiones de arquitectura y trabajo con clientes.

Confianza del cliente en la entrega

Los clientes se preocupan por la calidad del código cuando no ven tus procesos internos.

Comparte reportes de revisión automatizados como prueba de tus estándares de calidad. Construye confianza con transparencia.

Incorporación de nuevos miembros

Los nuevos no conocen las convenciones específicas del cliente. Introducen inconsistencias.

diffray enseña tus estándares a través de feedback consistente. Los nuevos se adaptan más rápido.

Comienza en minutos

Añade diffray a tu flujo de trabajo en 4 simples pasos

Instala la app

Conecta tu cuenta GitHub

Añade proyectos

Selecciona repositorios de clientes

Configura reglas

Define estándares por cliente

Revisa PRs

IA revisa automáticamente

Agencias líderes confían en nosotros

"Solíamos pasar 2 horas por PR en revisión de seguridad para clientes fintech. Ahora diffray lo hace en minutos, y hemos detectado problemas que nuestro proceso manual pasaba por alto."

— Director Técnico, Agencia Digital

"Los reportes para clientes son revolucionarios. Compartimos el dashboard de diffray con clientes para mostrar nuestro compromiso con la calidad. Se ha vuelto un punto de venta."

— CEO, Consultoría de Software