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New: AI Architecture Engine

Code Reviews that Actually Understand Context

Stop verifying syntax. Start reviewing logic. CodeRev analyzes your entire codebase to provide context-aware feedback, spot architectural issues, and enforce best practices instantly.

How it Works
coderev-analysis.tsx

AI Insight

This function re-implements auth logic found in auth/utils.ts.

Consider importing validateSession to ensure security consistency across modules.

Built for Modern Engineering Teams

Stop checking styles. Start checking architecture.

Context Aware

CodeRev reads your file structure and dependencies. It knows a 'User' model in one file relates to the 'Auth' service in another.

Diff Analysis

Analyzes changes in isolation but evaluates them in context. It understands how a 5-line change affects the whole system.

Constructive Feedback

Forget 'fix this'. CodeRev explains *why* a change is risky and suggests safe, refactored alternatives.

Instant feedback

Get reviews in seconds, not hours. Unblock your team and keep the momentum going.

Security First

Proactively spots common vulnerabilities like SQL injection or exposed secrets before they commit.

Language Agnostic

Supports TypeScript, Python, Go, Rust, and more. If it's code, we can review it.

The AI Agent Architecture

CodeRev isn't just a wrapper around an LLM. It uses a multi-stage agentic workflow to understand, critique, and improve your code.

01

Ingestion & Mapping

We parse your entire repository to build a dependency graph, understanding how modules interact.

02

Diff Contextualization

We map the specific changes in your PR to the broader graph to identify ripple effects.

03

Review Generation

Our specialized agents critique the code for logic, security, and performance, not just style.

Input: Pull Request

Raw diffs + file tree structure

Agent Core

Knowledge Graph Analysis • Security Scan • Style Check

Output: Actionable Review

Line-specific comments & code suggestions

Ready to streamline your code reviews?

Join thousands of developers who trust CodeRev to keep their codebase clean and secure.