what is open-code-review fr?

Open Code Review is a free, open-source tool that automatically reviews code changes and flags potential bugs, things like null pointer errors, thread-safety issues, cross-site scripting, and SQL injection. It was originally built as Alibaba's internal AI code review assistant, where it served tens of thousands of developers and caught millions of defects before being released as an open-source project. You run it from the command line, and it produces specific, line-by-line comments rather than vague feedback. What makes it different from simply asking an AI assistant to review your code is its hybrid approach. Instead of letting the AI model do everything on its own, it uses fixed, deterministic logic to handle the parts that should never go wrong, deciding which files to review, grouping related files together, and making sure comments land on the correct line numbers. The AI model then handles the actual analysis and decision-making, like reading full file contents and searching the codebase for context. This split results in fewer false alarms, more accurate comment placement, and lower API costs compared to a purely AI-driven approach. The tool is designed for developers and teams who want automated code review without the noise. For example, a startup could run it as a check before merging a pull request, or a developer exploring an unfamiliar codebase could use its scan mode to audit entire files for hidden issues. It works on Windows, macOS, and Linux, and it integrates with AI coding agents like Claude Code, Codex, and Cursor as a slash command, so you can trigger a review without leaving your existing workflow. You do need to bring your own AI model, it supports OpenAI- and Anthropic-compatible endpoints, including custom private gateways. Configuration is straightforward through an interactive setup or command-line flags, and environment variables are supported for CI/CD pipelines. The project is written in Go and distributed as a single binary or an npm package.