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.

Für Agenturen gebaut

Qualität im Maßstab. Jeder Kunde.

Ihre Agentur verwaltet mehrere Kunden, mehrere Codebasen, mehrere Standards. diffray gewährleistet konsistente Qualität über jedes Projekt ohne Ihr Team zu skalieren.

∞

Projekte

KI-Agenten

Dashboard

100 kostenlose Reviews/Monat • Unbegrenzte Projekte • Keine Kreditkarte

Warum Agenturen diffray wählen

Verwalten Sie alle Kundenprojekte mit konsistenter Qualität und weniger Aufwand.

Multi-Projekt-Management

Reviewen Sie Code aller Kundenprojekte von einem Dashboard aus. Verschiedene Regeln pro Kunde, einheitliche Qualität.

Pro-Projekt-Konfigurationen
Zentrales Dashboard
Projektübergreifende Insights

Konsistente Sicherheitsstandards

Stellen Sie sicher, dass jedes Kundenprojekt Sicherheits-Best-Practices erfüllt. Finden Sie Schwachstellen vor der Übergabe.

OWASP Top 10 Abdeckung
Secrets-Erkennung
Dependency-Scanning

Kundenfertige Berichte

Erstellen Sie professionelle Code-Qualitätsberichte für Kunden. Demonstrieren Sie den Wert, den Sie liefern.

White-Label verfügbar
PDF-Exporte
Trendanalyse

Agentur-Probleme gelöst

Qualität variiert zwischen Projekten

Verschiedene Entwickler, verschiedene Standards. Einige Projekte bekommen gründliches Review, andere nur Stempel.

diffray wendet konsistentes KI-Review auf jeden PR über alle Projekte an, unabhängig davon, wer daran arbeitet.

Senior-Devs sind Review-Engpass

Ihre besten Entwickler verbringen 40% ihrer Zeit mit Review statt abrechnungsfähige Features zu bauen.

KI übernimmt First-Pass-Review, Seniors fokussieren sich auf Architekturentscheidungen und Kundenarbeit.

Kundenvertrauen bei Übergabe

Kunden sorgen sich um Code-Qualität, wenn sie Ihre internen Prozesse nicht sehen können.

Teilen Sie automatisierte Review-Berichte als Beweis Ihrer Qualitätsstandards. Bauen Sie Vertrauen durch Transparenz.

Onboarding neuer Teammitglieder

Neue Mitarbeiter kennen kundenspezifische Konventionen nicht. Sie führen Inkonsistenzen ein.

diffray lehrt Ihre Standards durch konsistentes Feedback. Neue Devs kommen schneller rein.

In Minuten starten

Fügen Sie diffray in 4 einfachen Schritten zu Ihrem Agentur-Workflow hinzu

App installieren

GitHub-Konto verbinden

Projekte hinzufügen

Kunden-Repos auswählen

Regeln konfigurieren

Pro-Kunde-Standards setzen

PRs reviewen

KI reviewt automatisch

Führende Agenturen vertrauen uns

"Wir haben früher 2 Stunden pro PR für Security-Review bei unseren Fintech-Kunden gebraucht. Jetzt macht diffray das in Minuten, und wir haben Probleme gefunden, die unser manueller Prozess übersehen hat."

— Technical Director, Digital-Agentur

"Die Kundenberichte sind ein Game-Changer. Wir teilen das diffray-Dashboard mit Kunden, um unser Qualitätsengagement zu zeigen. Es ist zum Verkaufsargument geworden."

— CEO, Software-Beratung