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.

What is diffray and how is it different from other AI code review tools?

diffray is a multi-agent AI code review platform that uses 10+ specialized AI agents (Security Agent, Performance Agent, Architecture Agent, Consistency Agent, and more) working together to review your code. Unlike single-agent tools like GitHub Copilot or CodeRabbit that use one AI model for everything, diffray's agents cross-validate findings. This coordinated approach reduces false positives by 87% and catches 3x more real bugs. Our customers report a 98% developer action rate on comments, compared to the industry average of 15-20%.

What are the benefits of multi-agent AI code review?

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. Key benefits include: 87% fewer false positives (agents cross-validate findings), 3x more real bugs detected, zero duplicate comments guaranteed, and full codebase awareness. Research shows single-agent systems suffer from 'context dilution' - trying to analyze too many aspects at once reduces accuracy. Multi-agent architecture solves this by maintaining focused expertise per agent.

How does diffray analyze full codebase context, not just the PR diff?

Unlike tools that only analyze the PR diff, diffray reviews your entire codebase for full context awareness. This means every code change is understood in relation to existing code, dependencies, and architectural patterns. Our agents perform complete architecture analysis and verify that new code maintains consistency with your existing codebase - naming conventions, patterns, and style. This deep understanding allows diffray to catch issues that diff-only tools miss: breaking changes to existing functionality, inconsistent patterns across files, and architectural violations that span multiple components.

How does diffray integrate with Semgrep and TruffleHog?

diffray integrates with industry-leading static analysis tools: Semgrep for deep code pattern detection and security policies, and TruffleHog for secrets detection and credential leak prevention. The key difference from using these tools standalone: diffray's AI agents validate and cross-check findings, confirming real issues while filtering out false positives. This intelligent validation layer means you get powerful static analysis with significantly less noise - only actionable, verified security findings reach your PR comments. No more alert fatigue from thousands of low-confidence warnings.

How does diffray help manage technical debt?

diffray provides proactive technical debt tracking by identifying areas that accumulate complexity over time. Our agents detect code smells, increasing cyclomatic complexity, growing dependencies, and patterns that become harder to maintain. Unlike reactive tools that only flag existing problems, diffray warns you when a PR is about to increase technical debt - before it's merged. This helps teams maintain code quality and make informed decisions about when to refactor versus ship quickly.

Does diffray work for both new products and legacy codebases?

Yes, diffray adapts to your codebase's unique patterns regardless of its age or state. For new products, diffray helps establish consistent patterns from day one and prevents technical debt accumulation. For legacy codebases, diffray learns existing conventions (even unconventional ones) and ensures new code follows established patterns - no more 'this doesn't match our style' comments from reviewers. diffray also helps with gradual modernization by identifying safe refactoring opportunities without breaking existing functionality.

How does diffray's multi-agent system work?

When you open a pull request, diffray deploys 10+ specialized agents in parallel. Each agent has deep expertise in its domain: Security Agent scans for OWASP Top 10 vulnerabilities, Performance Agent identifies bottlenecks, Architecture Agent checks design patterns, and Consistency Agent ensures code style. Agents cross-validate findings to eliminate false positives. A Coordinator Agent aggregates results, removes duplicates, and posts only high-confidence, actionable comments. The entire process completes in under 2 minutes for most PRs.

What programming languages does diffray support?

diffray supports all major programming languages including TypeScript, JavaScript, Python, Go, Rust, Java, C#, Ruby, PHP, Kotlin, Swift, and more. The multi-agent system is language-agnostic and adapts its analysis to language-specific patterns, frameworks, and best practices. Each agent understands idiomatic code for your stack and provides contextually relevant feedback.

How does diffray integrate with GitHub?

diffray integrates seamlessly with GitHub through a GitHub App. Installation takes less than 2 minutes: authorize the app, select repositories, and you're ready. diffray automatically reviews every pull request, posting actionable comments directly on the PR. No configuration required - it works out of the box. Enterprise teams can also use diffray CLI for local reviews before pushing code, and customize agents via .diffray configuration files.

Does diffray work with GitLab?

Yes, diffray supports GitLab integration. You can connect your GitLab repositories and receive the same multi-agent code review experience. The integration supports both GitLab.com (SaaS) and self-hosted GitLab instances. Enterprise customers with on-premise GitLab can use our self-hosted diffray deployment option.

How does diffray reduce false positives by 87%?

diffray achieves 87% fewer false positives through multi-agent cross-validation. When one agent flags an issue, other relevant agents validate the finding before it's reported. For example, if the Security Agent detects a potential vulnerability, the Architecture Agent verifies it's not already handled by a middleware, and the Consistency Agent checks if it follows an established pattern in your codebase. Only high-confidence findings that pass validation are reported. This is why 98% of diffray comments result in developer action.

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. No credit card required, no usage limits. Simply sign up with your GitHub account and install diffray on your public repositories.

What are diffray's pricing plans?

diffray offers simple per-developer pricing with unlimited reviews: Solo ($10/month - 1 developer), Team ($9/dev/month - 3-10 developers), and Growth ($79/month flat - unlimited developers). Open source projects are free forever. All plans include a 14-day free trial, all AI agents, and custom rules.

How does diffray compare to CodeRabbit?

While CodeRabbit uses a single AI model for code review, diffray employs multi-agent intelligence with 10+ specialized agents. Key differences: diffray has 87% fewer false positives (vs CodeRabbit's single-model approach), 98% developer action rate (vs industry average 15-20%), zero duplicate comments guaranteed, and full codebase awareness. diffray offers simple per-developer pricing ($10/month solo, $9/dev/month for teams) with unlimited reviews vs CodeRabbit's per-seat model. diffray also offers on-premise deployment for enterprises.

How does diffray compare to GitHub Copilot code review?

GitHub Copilot uses a single AI model for code review, while diffray uses specialized multi-agent intelligence. Research shows multi-agent systems catch 3x more real bugs while producing 87% fewer false positives. diffray provides full codebase awareness (not just the PR diff), custom rules support, agent memory that learns from your team's patterns, and guaranteed zero duplicate comments. Copilot's code review is included in Copilot subscription; diffray starts free for open source and $10/month for private repos with unlimited reviews.

Can diffray detect security vulnerabilities?

Yes, diffray's Security Agent is specifically trained to detect OWASP Top 10 vulnerabilities including SQL injection, XSS, CSRF, authentication flaws, sensitive data exposure, and more. Unlike static analysis tools, the Security Agent understands context - it analyzes code in relation to your entire codebase, reducing false positives while catching real security issues. The agent also identifies security misconfigurations, insecure dependencies, and potential data leaks that traditional scanners miss.

Does diffray store my source code?

No, diffray never stores your source code. Code is processed in memory during the review and immediately discarded after analysis completes. We are SOC 2 Type II compliant and your code is never used for AI training. For maximum security, enterprise customers can use our on-premise deployment option where code never leaves your infrastructure. All data transmission is encrypted with TLS 1.3.

Is diffray SOC 2 compliant?

Yes, diffray is SOC 2 Type II compliant. We undergo annual third-party audits to verify our security controls for data protection, availability, and confidentiality. Enterprise customers receive our SOC 2 report upon request. We also offer on-premise deployment, SSO/SAML integration, and custom data retention policies for organizations with strict compliance requirements.

How long does a diffray code review take?

Most pull requests are reviewed in under 2 minutes. Large PRs (1000+ lines) may take up to 5 minutes. diffray's multi-agent system runs agents in parallel, so review time scales efficiently regardless of PR size. According to our customer data, teams using diffray reduce total PR review time by 73% on average - from 45 minutes to 12 minutes per week - because they spend time on real issues instead of filtering noise.

What is diffray's developer action rate?

diffray achieves a 98% developer action rate on its comments, meaning developers act on 98 out of 100 comments by either fixing the issue or explicitly dismissing it as not applicable. The industry average for AI code review tools is 15-20%. This high engagement is due to our multi-agent approach that eliminates noise and surfaces only actionable findings with confidence scores. Low-confidence findings are filtered out automatically.

How does diffray prevent 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 Coordinator Agent consolidates findings from all specialized agents. If Security Agent and Consistency Agent both flag related issues, they're merged into a single, comprehensive comment. Each issue is reported exactly once with full context and clear remediation steps.

Can I add custom review rules?

Yes, diffray supports custom rules through .diffray configuration files in your repository. You can define team-specific coding standards, architectural patterns, and security policies. Rules are written in YAML and can reference your existing documentation. Custom rules are enforced by the Consistency Agent and integrated with all other agents. Pro and Enterprise plans include unlimited custom rules with rule testing and validation.

Does diffray offer on-premise deployment?

Yes, diffray offers on-premise deployment for Enterprise customers. Your code never leaves your infrastructure - the entire multi-agent system runs within your VPC or data center. On-premise deployment includes all features: full agent suite, custom rules, SSO/SAML, and dedicated support. We support AWS, GCP, Azure, and bare-metal deployments. Contact our sales team for architecture review and pricing.

Does diffray offer a free trial?

Yes, diffray offers a 14-day free trial for private repositories on all paid plans. No credit card required to start. You get full access to all features including all specialized agents, custom rules, unlimited reviews, and priority support. Open source projects are always free with no trial period - just install and use. Enterprise customers can request a custom pilot program with dedicated onboarding support.

Frequently Asked Questions

Everything you need to know about diffray's multi-agent AI code review platform. diffray uses 10+ specialized AI agents to reduce false positives by 87% and catch 3x more real bugs than single-agent tools.

87%

fewer false positives

more bugs detected

98%

action rate

10+

specialized agents

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