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.

¿Qué riesgos de migración de BD detecta diffray?

Operaciones de bloqueo en tablas grandes, índices faltantes antes de agregar claves foráneas, operaciones destructivas sin backups, migraciones irreversibles sin scripts de rollback, y queries que podrían timeout durante el despliegue.

¿Funciona con mi ORM/herramienta de migraciones?

diffray analiza archivos de migración sin importar la herramienta — Prisma, TypeORM, Knex, Rails migrations, Django migrations, Alembic, Flyway y SQL puro. Los patrones que detecta son universales.

¿Puede prevenir bloqueos de tablas durante despliegues?

Sí. Marca operaciones que bloquean tablas — agregar columnas con defaults en tablas grandes, crear índices sin CONCURRENTLY, y transformaciones de datos largas que deberían ser por lotes.

¿Cómo asegura la seguridad del rollback?

diffray verifica que cada migración tenga una migración correspondiente de rollback/down. También marca operaciones que no pueden deshacerse fácilmente, como eliminar columnas o tablas.

Para equipos que despliegan cambios de BD

Migraciones de base de datos
sin miedo

Una mala migración puede tumbar producción. diffray detecta queries bloqueantes, riesgos de pérdida de datos y rollbacks faltantes antes del deploy.

Prisma

TypeORM

Knex

Sequelize

Rails Migrations

Django Migrations

Comenzar gratis

Migraciones que rompen producción

Pasan el code review. No pasan por diffray.

Bloqueo de tablas

ALTER TABLE en tablas grandes
Agregar columnas con defaults
Crear índices sin CONCURRENTLY

→ Base de datos bloqueada, aplicación no disponible

Pérdida de datos

DROP COLUMN sin backup
Cambio de tipos de columnas
Limpieza de tablas

→ Datos perdidos para siempre

Operaciones largas

Poblar millones de filas
Transformaciones complejas de datos
Recreación de índices

→ Timeouts de deploy, estado incompleto

Sin rollback

Migración down faltante
Operaciones irreversibles
Cambios dependientes de datos

→ No se puede revertir si algo falla

Checklist de seguridad automático

Cada migración pasa una auditoría de seguridad completa

Script de rollback existe

Sin operaciones bloqueantes

Tablas grandes procesadas en lotes

Índices creados concurrentemente

Sin operaciones destructivas de datos

Foreign key tiene índice

Lo que detectamos

Operaciones bloqueantes

ALTER TABLE, creación de índices y otras operaciones que bloquean tablas durante la ejecución

Seguridad de datos

Eliminación de columnas, cambios de tipo y otras operaciones con riesgo de pérdida de datos

Seguridad de rollback

Migraciones down faltantes, operaciones irreversibles, riesgos de deploy

Preguntas frecuentes

Migra de forma segura.
Duerme tranquilo.

Nunca más "la migración bloqueó la tabla users" a medianoche.