You're not alone. Here's what developers told us about traditional AI review tools:
The problem is single-agent AI.
Five specialized stages working together to find what actually matters
Five specialized stages working together to find what actually matters
Analyzes changed files to dynamically select relevant guidelines. React component? Load React rules. API endpoint? Security focus. No generic spray-and-pray.
See how much time and money you'll save with diffray
Six capabilities that single-agent tools simply cannot match
Dynamically selects relevant rules based on file patterns. Changed React component? React rules. Updated API? Security focus.
"75% reduction in processing time. Only checks what matters for your changes."
Checks if you already fixed this in previous PRs. Reviews your comment history. No repeated issues polluting your review.
"Issue persists after 3 PRs? Gets higher priority automatically."
Detects when you're solving a problem already solved elsewhere. Suggests reusing existing utilities. Finds better patterns in your code.
"Why rewrite formatCurrency() when /utils/currency.ts already does it better?"
Every finding scored for certainty. Low-confidence results automatically filtered. Only high-certainty issues reach your team.
"60% confidence? Hidden. 95% confident SQL injection? Shown with priority badge."
Analyzes how your changes affect existing code. Predicts breaking changes. Checks for conflicts and side effects.
"Adding required field to User interface will break 3 files. Fix before merge."
Agents maintain TODO lists, re-read files for context, remember what they checked. Think like human reviewers, not blind automation.
"Security agent re-reads auth.ts to verify if validation is actually missing."
"We reduced PR review time from 45 minutes to 12 minutes per week. The team actually trusts AI feedback now."
Marcus Williams
Engineering Manager, TechFlow (35 developers)
"CodeRabbit was giving us 20+ comments per PR. We ignored most. diffray gives us 3-4 that are always spot-on."
Elena Rodriguez
Tech Lead, PayScale (Fintech, 50+ developers)
"The codebase-aware analysis is a game-changer. It caught a duplicate implementation that would've cost us 2 days."
Alex Kim
CTO, DataSync (AI Startup, 20 developers)
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