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.

Does diffray understand TypeScript generics?

Yes. diffray understands advanced TypeScript features including generics, conditional types, mapped types, and template literal types. It validates proper type constraints and usage.

Can diffray enforce strict TypeScript settings?

Yes. diffray validates code against strict mode requirements including strictNullChecks, noImplicitAny, and other compiler options for maximum type safety.

Does diffray check for type assertion abuse?

Yes. diffray flags unsafe type assertions (as any, as unknown), unnecessary type casts, and recommends type guards and narrowing for better type safety.

TypeScript-Experte

KI-Code-Review für TypeScript

diffray versteht TypeScript. Generics, Strict Mode, Type Guards — KI-gestütztes Review für typsichere Anwendungen.

Node.js18+

Deno1.x

Bun1.x

NestJS10.x

tRPC10+

Entwickelt für TypeScript-Entwickler

KI-Agenten, die TypeScripts Typsystem auf tiefer Ebene verstehen.

Typsicherheit

Typfehler erkennen, Generics validieren und Strict-Mode-Patterns durchsetzen.

Strict Null Checks
Generic-Constraints
Type Narrowing

Runtime-Sicherheit

Probleme finden, die der Compiler übersieht, aber Runtime-Fehler verursachen.

Type-Assertion-Missbrauch
Implicit Any
Unsichere Casts

Sicherheit

Sicherheitslücken in Full-Stack-TypeScript-Anwendungen erkennen.

Input-Validierung
SQL-Injection
XSS-Prävention

Performance

Performance-Probleme auf Typ-Ebene und Build-Optimierungen identifizieren.

Komplexe Typen
Bundle-Auswirkung
Tree Shaking

Häufige TypeScript-Probleme, die wir finden

Type Assertions (as any)

Umgeht Typsicherheit, Runtime-Fehler

Markiert unsichere Casts, schlägt Type Guards vor

Fehlende Null-Checks

Cannot read property of undefined

Validiert strictNullChecks-Patterns

Implicit Any in Generics

Typinformationsverlust, Bugs

Erzwingt explizite Generic-Constraints

Unsichere Type Predicates

Falsches Type Narrowing

Validiert benutzerdefinierte Type Guards

Benutzerdefinierte Regeln für Typsicherheit

Setzen Sie die TypeScript-Standards Ihres Teams durch. Unsichere Patterns verbieten, strikte Typen erfordern.

'as any' und unsichere Type Assertions verbieten
Explizite Rückgabetypen für Exports erfordern
Branded Types für IDs durchsetzen
Zod/io-ts Schema-Nutzung validieren

.diffray/rules/typescript.yaml

rules:
  - id: ts_no_unsafe_any
    agent: bugs
    title: No unsafe type assertions
    description: Avoid 'as any' and prefer
      type guards or unknown
    importance: 9
    match:
      file_glob:
        - '**/*.ts'
        - '**/*.tsx'
    checklist:
      - No 'as any' assertions
      - Use type guards for narrowing
      - Prefer unknown over any
    tags:
      - typescript
      - type-safety
      - strict-mode

TypeScript FAQ

Entwickeln Sie typsichere Apps

Schließen Sie sich TypeScript-Teams an, die diffray für Experten-KI-Code-Review nutzen.

Strict-Mode-Validierung

Generics-Prüfung

Type-Guard-Validierung

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React & Next.js

Hooks & Komponenten

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Startups

Schnell & sicher

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