Overview

Open Code Review (OCR) is a battle-tested, AI-powered Command Line Interface (CLI) tool engineered for highly efficient and precise code reviews. Originating from Alibaba Group's internal infrastructure, OCR has been instrumental in identifying millions of code defects for tens of thousands of developers. It combines deterministic engineering with advanced LLM agents to deliver unparalleled accuracy and speed in code analysis.

Key Features

• Hybrid Architecture: Leverages a deterministic pipeline for core logic and an LLM agent for dynamic decision-making, ensuring both stability and intelligence.
• Deterministic Engineering: Guarantees precise file selection, intelligent file bundling, fine-grained rule matching, and robust positioning/reflection modules for predictable and accurate reviews.
• LLM Agent Integration: Works seamlessly with OpenAI and Anthropic-compatible LLMs, including Claude Code, Codex, and Cursor, supporting tool-use capabilities for deep code understanding.
• Line-Level Precision: Delivers comments with exact line-number accuracy, eliminating the "position drift" common in general-purpose agents.
• Built-in Multi-Language Ruleset: Comes with pre-configured rules for common vulnerabilities and issues like Null Pointer Exceptions (NPEs), thread-safety concerns, Cross-Site Scripting (XSS), and SQL injection.
• Scalability & Efficiency: Proven to handle Alibaba's massive scale, offering significantly higher precision and F1 scores with reduced token consumption and faster review times compared to generic agents.
• Comprehensive Review Modes: Supports diff reviews of Git changesets, full-file scans (ocr scan) for auditing entire codebases, and delegation mode for seamless integration with AI coding assistants.
• Extensible and Configurable: Offers flexible configuration for LLM providers, models, custom rules, and CI/CD integration (GitHub Actions, GitLab CI, etc.).

Typical Use Cases

• Automated Pre-Commit Checks: Integrate into CI/CD pipelines to automatically flag potential issues before code merges, improving code quality and reducing manual review burden.
• Large-Scale Code Audits: Utilize ocr scan to perform comprehensive security and quality audits on entire repositories or specific modules, even without recent Git history.
• Enhanced Developer Productivity: Provide developers with precise, actionable feedback directly in their workflow, enabling faster identification and resolution of defects.
• Vulnerability Detection: Proactively identify common security flaws like SQL injection and XSS across the codebase.
• Codebase Onboarding & Familiarization: Quickly analyze unfamiliar codebases to understand potential risks and areas needing attention.
• AI Coding Agent Augmentation: Leverage OCR's deterministic file selection and rule resolution to empower your existing AI coding agents for more focused and accurate code reviews.