Demo video: https://www.youtube.com/watch?v=X61NGZpaNQA

So far, we have dozens of open source projects and companies using Ellipsis. We seem to have landed in a kind of sweet spot where there’s a good match between the current capabilities of AI tools and the actual needs of software engineers - this doesn’t replace human review, but it saves you time by catching/fixing lots of small silly stuff.

Here’s an example in the wild: https://github.com/relari-ai/continuous-eval/pull/38. Ellipsis (1) adds a PR summary; (2) finds a bug and adds a review comment; (3) after a (human) user comments, generates a side PR with the fix; and (4) after a (human) user merges the side PR and adds another commit, re-reviews the PR and approves it

Here’s another example: https://github.com/SciPhi-AI/R2R/pull/350#pullrequestreview-..., where Ellipsis adds several comments with inline suggestions that were directly merged by the developer.

You can configure Ellipsis in natural language to enforce custom rules, style guides, or conventions. For example, here’s how the `jxnl/instructor` repo uses natural language rules to make sure that docs are kept in sync: https://github.com/jxnl/instructor/blob/main/ellipsis.yaml#L..., and here’s an example PR that Ellipsis came up with based on those rules: https://github.com/jxnl/instructor/pull/346.

Installing into your repo takes 2 clicks at https://www.ellipsis.dev. You do have to sign up to try it out because we need you to authorize our GitHub app to read your code. Don’t worry, your code is never stored or used to train models (https://docs.ellipsis.dev/security).

We’d really appreciate your feedback, thoughts, and ideas!