# Open Code Review

Alibaba has open-sourced Open Code Review, its internal AI code-review assistant used for two years, and a user only needs to configure a model endpoint to start. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool use, which can read full files, search the codebase and consult other changed files to produce structured, line-level review comments. On a benchmark of 50 open-source repositories, 200 real pull requests and 10 programming languages, it reaches clearly higher precision and F1 than a general-purpose agent with the same underlying model while consuming about one-ninth the tokens, but its recall is lower, a deliberate trade-off favoring precision over noise.

Alibaba has open-sourced Open Code Review, its internal AI code-review assistant used for two years, and a user only needs to configure a model endpoint to start. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool use, which can read full files, search the codebase and consult other changed files to produce structured, line-level review comments. On a benchmark of 50 open-source repositories, 200 real pull requests and 10 programming languages, it reaches clearly higher precision and F1 than a general-purpose agent with the same underlying model while consuming about one-ninth the tokens, but its recall is lower, a deliberate trade-off favoring precision over noise.