diffray

About diffray

diffray is a revolutionary AI-powered code review platform designed to cut through the noise and deliver genuinely valuable feedback on every pull request. It moves beyond the limitations of traditional single-model AI tools by employing a sophisticated multi-agent architecture. Instead of one generic model trying to do everything, diffray deploys over 30 specialized AI agents, each an expert in a specific domain like security vulnerabilities, performance bottlenecks, bug patterns, best practices, and even SEO. This targeted approach allows diffray to understand your code's context deeply, investigating your entire codebase—not just the diff—to provide precise, actionable insights. The result for development teams is transformative: a dramatic 87% reduction in false positives and a 3x increase in catching real, critical issues. By replacing speculative, noisy comments with investigative, context-aware reviews, diffray empowers developers to ship higher-quality code faster, with teams reporting a reduction in PR review time from 45 minutes to just 12 minutes per week. It integrates seamlessly with GitHub, offers a simple setup, and is built for developers who want intelligent assistance, not automated distraction.

Features of diffray

Multi-Agent Specialized Architecture

At the heart of diffray is its powerful multi-agent system. Unlike single-model tools that provide generic guesses, diffray uses over 30 specialized AI agents, each trained to be an expert in one specific area such as security, performance, data consistency, concurrency, or code duplication. This means a security agent deeply analyzes for vulnerabilities while a performance agent scrutinizes for bottlenecks, ensuring each aspect of your code receives expert-level attention. This division of labor is what enables the platform's high accuracy and drastically reduces irrelevant noise in your pull requests.

Full Codebase Context Awareness

diffray doesn't just look at the changed lines in your pull request; it investigates your entire repository for context. This allows it to catch issues that require a holistic view, such as spotting the addition of a duplicate library when another one is already in use, identifying duplicate utility functions already present in the codebase, or detecting type definitions that risk drifting apart. This deep understanding prevents suggestions that contradict established project patterns and ensures feedback is relevant to your specific code environment.

Actionable & Clean Feedback

Tired of AI review spam filled with emojis and style nitpicks? diffray is built for professional developers. It provides clean, direct, and actionable comments that pinpoint exact problems. Instead of vague advice like "check callers," it delivers concrete findings with specific file paths and line numbers, such as identifying three call sites with type mismatches and two tests that need updates. This clarity enables developers to understand and fix issues immediately, leading to a remarkable 98% developer action rate.

Seamless GitHub Integration & Easy Setup

Getting started with intelligent code review takes just minutes. diffray offers a simple, one-click sign-in with GitHub. You can install the GitHub app directly to your organization or personal account, choose which repositories to enable, and configure settings to match your team's guidelines. There's no complex configuration or infrastructure to manage. The platform is free for open-source projects and offers a full 14-day free trial for private repositories, requiring no credit card to begin.

Use Cases of diffray

Accelerating Pull Request Reviews for Busy Teams

Development teams drowning in lengthy PR reviews can use diffray to drastically cut down cycle time. By automatically surfacing critical security flaws, performance regressions, and logical bugs with high accuracy, diffray acts as a first-line expert reviewer. This allows human reviewers to focus on higher-level architecture and design discussions rather than hunting for subtle bugs, enabling teams to move from an average of 45 minutes of review time per week to just 12 minutes.

Enforcing Code Quality & Consistency in Growing Codebases

As projects scale, maintaining code quality and preventing duplication becomes a challenge. diffray excels at identifying duplicate logic, inconsistent type definitions, and deviations from established project patterns. It can spot a new formatMoney function that duplicates an existing formatPrice utility or flag a CalPromotionData type defined in two separate places, preventing future type drift and encouraging the use of shared schemas and utilities.

Proactive Security & Reliability for Critical Applications

For fintech, healthcare, or any application handling sensitive data, diffray's specialized security and data integrity agents are invaluable. They proactively investigate pull requests for severe issues like non-atomic database updates that could corrupt payment data, potential SQL injection vulnerabilities, and concurrency problems that could lead to race conditions. This provides a critical safety net, catching complex, business-logic-level bugs that traditional linters and single-model AI often miss.

Onboarding New Developers & Maintaining Best Practices

diffray serves as an always-available mentor for new team members. By providing instant, context-aware feedback on pull requests, it helps newcomers learn the team's coding standards, discover existing utility functions, and avoid common pitfalls. It reinforces best practices by suggesting optimizations and pointing out anti-patterns, ensuring code quality remains high even as the team evolves and grows.

Frequently Asked Questions

How is diffray different from other AI code review tools?

diffray fundamentally differs through its multi-agent architecture. While most tools use a single, general-purpose AI model that often produces noisy and generic feedback, diffray employs over 30 specialized agents. Each agent is an expert in one domain (security, performance, etc.) and works by investigating your full codebase for context. This leads to far more accurate, relevant, and actionable findings—87% fewer false positives and 3x more real issues caught compared to traditional single-model approaches.

Is my code secure with diffray?

Yes, security is a top priority. diffray is built with a SOC 2 compliant infrastructure and is GDPR ready. Most importantly, your code is never stored permanently. It is processed in memory solely for the purpose of analysis during the code review and is not used for training general AI models. Your proprietary code remains yours and is handled with the highest standards of data security and privacy.

What platforms does diffray integrate with?

diffray currently offers deep, native integration with GitHub via its easy-to-install GitHub App. The platform also lists integrations with GitLab, Bitbucket, and on-premise solutions, providing flexibility for teams using different version control systems. The setup is designed to be quick and requires minimal configuration to start receiving intelligent code reviews.

What is the pricing model for diffray?

diffray offers a generous free plan for open-source repositories, supporting the developer community. For private repositories, teams can start with a full-featured 14-day free trial without requiring a credit card. After the trial, paid plans are available for teams and enterprises, scaling based on the number of users or repositories. You can visit the diffray website for the most current and detailed pricing information.