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.

Comment diffray prévient-il les incidents de production ?

diffray analyse les PRs pour les patterns connus pour causer des incidents — race conditions, gestion d'erreurs manquante, fuites de ressources, déploiements non sécurisés. Il apprend des causes courantes de pannes et signale des patterns similaires dans votre code.

Peut-il apprendre de nos incidents passés ?

Oui. Vous pouvez encoder les apprentissages des incidents passés en règles personnalisées. 'Nous avons eu une panne à cause de X' devient une règle qui détecte des patterns similaires pour toujours. Votre historique d'incidents devient un savoir institutionnel.

Quels types de changements risqués détecte-t-il ?

Migrations de base de données sans plans de rollback, changements de config affectant tous les utilisateurs d'un coup, suppression de feature flags, changements des flux d'authentification, modifications du traitement des paiements — tout ce qui pourrait avoir un impact massif.

S'intègre-t-il avec les outils de gestion d'incidents ?

diffray se concentre sur la prévention au niveau PR. Pour l'analyse post-incident, les apprentissages peuvent être encodés en règles qui préviennent des problèmes similaires dans les PRs futurs.

Pour les équipes fatiguées des alertes à 3h du matin

Stoppez les Incidents
Avant Qu'ils ne Commencent

Le meilleur incident est celui qui n'arrive jamais. diffray détecte les patterns risqués au niveau PR, avant qu'ils ne deviennent des alertes à 3h du matin.

Commencer à Prévenir

Patterns Qui Causent des Pannes

diffray les détecte avant qu'ils ne soient livrés

Désastres de Base

Index manquants sur grandes tables
Migrations bloquantes
Requêtes N+1 à grande échelle

Catastrophes de Config

Feature flags affectant tous les utilisateurs
Fautes de frappe dans les variables d'env
Fallbacks manquants

Bombes à Retardement Perf

Fuites mémoire
Boucles non bornées
Pagination manquante

Échecs Silencieux

Exceptions avalées
Gestion d'erreurs manquante
Logique de retry cassée

Pipeline de Prévention

Apprendre de l'Histoire

Encodez les leçons des incidents passés en règles. Ce qui a causé des pannes ne sera plus livré.

Reconnaissance de Patterns

L'IA reconnaît les patterns risqués — race conditions, fuites de ressources, déploiements non sûrs.

Signalement des Risques

Les PRs à haut risque sont signalés pour review supplémentaire. Les PRs à faible risque passent plus vite.

Amélioration Continue

Chaque incident devient une nouvelle règle. Vos défenses se renforcent avec le temps.

Évaluation Intelligente des Risques

Tous les PRs ne nécessitent pas le même examen

Touche le traitement des paiementsRisque Élevé

Modifie le flux d'authentificationRisque Élevé

Migration de base incluseRisque Moyen

Changements de fichiers de configRisque Moyen

Nouvelle gestion d'erreursRisque Faible

Changements UI uniquementRisque Faible

FAQ

Dormez Mieux.
Livrez Plus Sûr.

Arrêtez de combattre les incendies. Commencez à prévenir.

Essai Gratuit

Stoppez les IncidentsAvant Qu'ils ne Commencent