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I often rely on ChatGPT and GitHub Copilot, but it is a little bit frustrating to constantly copy and paste between the copilot chat window and my open code files. Why not update the files directly? I also tried using Cursor, which solved the first problem, but still have to open each file individually to add them to the AI's context.
That's why I created batchai. The idea is simple: less copy-pasting, fewer clicks on 'Add to Chat' or 'Apply.' batchai traverses files and processing each of them. Since AI isn’t always perfect, I’ve designed it to run only on a Git directory, so we can easily diff the changes and choose to either commit or revert them.
Currently, batchai only supports code review and fixing common issues (think of it as a local AI-driven SonarQube). The next feature in progress is generating unit test code in batches, which I plan to use in a few of my personal projects (including this batchai), as they have very few unit tests. Other planned features include code explanation, comment generation, and refactoring — all of which will be handled in batches. Additionally, I’m working on enabling batchai to have an overall insight of the project’s code, such as building cross-file code symbol indexing, which should help the AI perform better.
Download the latest executable binary from here and add it to your $PATH. For Linux and Mac OSX, remember to run chmod +x ... to make the binary executable.
