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 database migration risks does diffray catch?

Locking operations on large tables, missing indexes before adding foreign keys, data-destructive operations without backups, non-reversible migrations without rollback scripts, and queries that could timeout during deployment.

Does it work with my ORM/migration tool?

diffray analyzes migration files regardless of tool — Prisma, TypeORM, Knex, Rails migrations, Django migrations, Alembic, Flyway, and raw SQL. The patterns it catches are universal.

Can it prevent table locking during deployments?

Yes. It flags operations that lock tables — adding columns with defaults on large tables, creating indexes without CONCURRENTLY, and long-running data transformations that should be batched.

How does it ensure rollback safety?

diffray checks that every migration has a corresponding rollback/down migration. It also flags operations that can't be easily rolled back, like dropping columns or tables.

For teams shipping database changes

Database Migrations
Without the Fear

One bad migration can take down production. diffray catches locking queries, data loss risks, and missing rollbacks before you deploy.

Prisma

TypeORM

Knex

Sequelize

Rails Migrations

Django Migrations

Start Free Trial

Migrations That Break Production

These slip past code review. Not past diffray.

Table Locking

ALTER TABLE on large tables
Adding columns with defaults
Creating indexes without CONCURRENTLY

→ Database locked, app unusable

Data Loss

DROP COLUMN without backup
Changing column types
Truncating tables

→ Data gone forever

Long-Running

Backfilling millions of rows
Complex data transformations
Rebuilding indexes

→ Deployment timeouts, partial state

No Rollback

Missing down migration
Irreversible operations
Data-dependent changes

→ Can't undo if something breaks

Automatic Safety Checklist

Every migration gets a full safety audit

Rollback script exists

No table locking operations

Large table operations use batching

Index creation is concurrent

No data-destructive operations

Foreign key has index

What We Catch

Locking Operations

ALTER TABLE, index creation, and other operations that lock tables during execution

Data Safety

Column drops, type changes, and other operations that risk data loss

Rollback Safety

Missing down migrations, irreversible operations, deployment risks

FAQ

Migrate Safely.
Sleep Soundly.

Never wake up to "the migration locked the users table" again.