diffray

About diffray

diffray is a revolutionary AI-powered code review tool that finally delivers on the promise of intelligent automation without the soul-crushing noise. It's built for development teams who are tired of sifting through dozens of generic, low-value comments from single-model AI reviewers that miss critical bugs. The core philosophy is simple: one generalist AI is a jack of all trades and master of none. diffray replaces that with a curated team of over 30 specialized AI agents, each a dedicated expert in a specific domain like security vulnerabilities, performance bottlenecks, concurrency issues, or codebase consistency. This multi-agent architecture allows diffray to conduct deep, contextual investigations into your pull requests, understanding not just the diff but the full context of your repository. The result is what developers actually need: dramatically fewer false positives, a significantly higher catch rate for real, actionable issues, and clean, professional feedback that respects your time. Teams using diffray report cutting their weekly PR review time from 45 minutes to just 12, transforming code review from a chore into a genuine quality accelerator.

Features of diffray

Multi-Agent Specialized Architecture

Unlike traditional tools that use a single, generic LLM for everything, diffray employs a sophisticated system of over 30 specialized AI agents. Each agent is a dedicated expert trained and focused on one specific area, such as detecting security flaws, identifying performance anti-patterns, catching concurrency bugs, or spotting duplicate logic. This means the security agent thinks only about security, deeply understanding OWASP guidelines and injection patterns, while the performance agent is solely concerned with runtime efficiency. This specialization is the key to eliminating noise and providing deep, accurate analysis that a generalist model simply cannot match.

Full Codebase Context Awareness

diffray doesn't just look at the lines changed in your pull request; it investigates your entire repository for context. This is a game-changer. It can detect when you're adding a new date library while your project already uses a different one, find all call sites that need updating after a function signature change, or identify duplicate utility functions that already exist elsewhere in your code. This memory and understanding prevent it from making suggestions your team has already decided against and allow it to provide insights that require a holistic view of your project.

Actionable, Clean Feedback

Gone are the days of emoji-spam comments and vague suggestions like "consider refactoring." diffray's agents provide clean, professional, and hyper-actionable feedback. Comments include concrete file paths, specific line numbers, and clear explanations of the impact. For example, instead of a generic warning about data consistency, it will state: "Found Stripe and database updates that aren't atomic in billing/webhook.ts:87. If the database update fails, payment data becomes inconsistent." This precision allows developers to understand and fix issues immediately.

Seamless GitHub Integration & Easy Setup

Getting started with diffray is designed to be frictionless. You sign in with your GitHub account, install the diffray GitHub App on your organization or personal repositories, and configure which repos to enable. The setup takes just a few clicks, with no complex configuration files or credit card required upfront. Once installed, it automatically reviews pull requests, posting its intelligent findings directly in the PR thread where your team already works, integrating seamlessly into your existing development workflow.

Use Cases of diffray

Accelerating Pull Request Reviews for Busy Teams

Development teams, especially in fast-moving startups or scale-ups, spend a significant portion of their week manually reviewing PRs. diffray acts as a first-pass expert reviewer, catching a wide range of issues before human eyes even look at the code. By filtering out noise and highlighting only the substantive, high-priority problems—from bug risks to security flaws—it allows senior engineers to focus their review efforts on architecture and logic, not syntax nitpicks. This cuts average review time per developer from 45 to 12 minutes weekly.

Enforcing Codebase Consistency and Best Practices

As a project grows, maintaining consistency becomes a major challenge. diffray excels at this. Its agents actively prevent "codebase drift" by spotting duplicate utility functions, identifying type definitions that are defined in multiple places (risking future desynchronization), and ensuring new code follows established project patterns and uses approved libraries. It acts as an institutional memory for your codebase, helping onboard new developers and keeping the entire codebase clean and maintainable.

Proactive Security and Reliability Auditing

For industries like fintech, SaaS, or any application handling sensitive data, security and reliability are non-negotiable. diffray's dedicated security agent performs a proactive audit on every PR, looking for SQL injection vectors, insecure dependencies, authentication bypass risks, and non-atomic operations that could corrupt data. Its ability to understand context means it can find complex, multi-step vulnerabilities that simple linters would miss, significantly hardening your application's security posture with each merged PR.

Improving Test Quality and Preventing Bugs

diffray goes beyond analyzing just the production code. It reviews test files as well, identifying meaningless or empty tests that provide a false sense of security. It can also spot untested code paths introduced in a PR and suggest improvements to test coverage. By ensuring tests are robust and actually validate functionality, diffray helps teams maintain high code quality, reduce regression bugs, and increase confidence in their deployment pipeline.

Frequently Asked Questions

How is diffray different from other AI code review tools?

The difference is fundamental. Most tools use a single, general-purpose AI model that tries to do everything at once, leading to generic, often incorrect "guesses" and a flood of low-value comments. diffray uses a multi-agent system where over 30 specialized AIs, each an expert in a domain like security or performance, work together. This allows for deep, investigative analysis of your code in its full repository context, resulting in far fewer false positives and catching 3x more real, critical issues that other tools miss.

Does diffray store or have access to my private source code?

No, diffray is designed with security and privacy as a top priority. The platform operates on a strict principle: your code is never stored. It accesses your repository in real-time via secure, tokenized connections solely to perform the analysis on the specific pull request. The infrastructure is SOC 2 compliant and GDPR-ready, ensuring your intellectual property remains completely within your control at all times.

What if I disagree with a suggestion from an agent?

diffray is built to be an expert assistant, not an authoritarian gatekeeper. Its comments are designed to be insightful starting points for discussion. You can simply reply to any comment in the PR thread to provide context or explain a decision, and your team can collaborate as usual. The goal is to provide intelligent insights that a human reviewer might have missed, not to enforce rigid, unthinking rules.

Is there a free plan or trial available?

Absolutely. diffray is committed to supporting the open-source community and offers its full service completely free for public, open-source repositories. For private repositories, you can start with a full-featured 14-day free trial with no credit card required. This allows you and your team to experience the multi-agent review process, see the tangible time savings, and validate the quality of findings on your own codebase before any commitment.