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.

Conçu pour les agences

Qualité à grande échelle. Chaque client.

Votre agence gère plusieurs clients, plusieurs bases de code, plusieurs standards. diffray assure une qualité cohérente sur chaque projet sans agrandir votre équipe.

∞

Projets

Agents IA

Dashboard

100 revues gratuites/mois • Projets illimités • Sans carte bancaire

Pourquoi les agences choisissent diffray

Gérez tous les projets clients avec une qualité cohérente et moins de charge.

Gestion multi-projets

Révisez le code de tous les projets clients depuis un seul tableau de bord. Règles différentes par client, qualité unifiée.

Configurations par projet
Dashboard centralisé
Insights inter-projets

Standards de sécurité cohérents

Assurez que chaque projet client respecte les meilleures pratiques de sécurité. Détectez les vulnérabilités avant la livraison.

Couverture OWASP Top 10
Détection de secrets
Scan de dépendances

Rapports pour clients

Générez des rapports professionnels de qualité de code à partager avec les clients. Démontrez la valeur que vous apportez.

White-label disponible
Exports PDF
Analyse des tendances

Problèmes d'agences résolus

La qualité varie entre projets

Différents développeurs, différents standards. Certains projets reçoivent une revue approfondie, d'autres juste un tampon.

diffray applique une revue IA cohérente à chaque PR sur tous les projets, peu importe qui y travaille.

Les seniors sont un goulot d'étranglement

Vos meilleurs développeurs passent 40% de leur temps en revue au lieu de construire des fonctionnalités facturables.

L'IA gère la première passe, les seniors se concentrent sur les décisions d'architecture et le travail client.

Confiance du client à la livraison

Les clients s'inquiètent de la qualité du code quand ils ne voient pas vos processus internes.

Partagez des rapports de revue automatisés comme preuve de vos standards de qualité. Construisez la confiance par la transparence.

Intégration des nouveaux membres

Les nouvelles recrues ne connaissent pas les conventions spécifiques du client. Ils introduisent des incohérences.

diffray enseigne vos standards par un feedback cohérent. Les nouveaux devs s'adaptent plus vite.

Commencez en quelques minutes

Ajoutez diffray à votre workflow d'agence en 4 étapes simples

Installer l'app

Connectez votre compte GitHub

Ajouter les projets

Sélectionnez les repos clients

Configurer les règles

Définissez les standards par client

Réviser les PRs

L'IA révise automatiquement

Les agences leaders nous font confiance

"Nous passions 2 heures par PR en revue de sécurité pour nos clients fintech. Maintenant diffray le fait en minutes, et nous avons détecté des problèmes que notre processus manuel ratait."

— Directeur Technique, Agence Digitale

"Les rapports clients changent la donne. Nous partageons le dashboard diffray avec les clients pour montrer notre engagement qualité. C'est devenu un argument de vente."

— CEO, Cabinet de Conseil en Logiciel