AI Code Reviews that automatically catch logical bugs, anti-patterns, documentation drift, and can even enforce your team style guide. Simply open a PR to get a code review. Then, if any bugs are found, squash them with 1-click Bug Fixes. Free trial available.
Hi ProductHunt, Hunter and Nick here!
Allow me to introduce Ellipsis, a GitHub bot that automatically performs deep, LLM-powered code reviews, fills in PR descriptions, and can even write working, tested code to fix bugs.
Simply open a pull request to get an AI Code Review and summary. As you keep pushing code, Ellipsis will update the summary and review the new changes. If a bug pops up, you can squash it with 1-click fixes.
🚀 Here's an example from jxnl/instructor (10K stars) 🚀
👨💻 What does it catch?
Ellipsis will catch logical errors, anti-patterns, security issues, spelling & grammar mistakes, documentation drift, and more. Reviews take less than 3 minutes. You can even have Ellipsis enforce your team style guide rules, like this project. For example, you might add a rule like "Make sure new code has corresponding unit tests." Ellipsis will subsequently leave reminders on any pull requests that try to submit untested code.
🐛 How does it fix bugs?
When Ellipsis finds a problem, it'll leave a comment on the offending line, just like a human would. Then, you can tag Ellipsis to have it implement the fix. This allows you to write working, tested code right from the GitHub UI! Internally, Ellipsis actually tests the code it writes by building your project, running the unit tests, linter, etc. 🆒
🚀 Why did we build this?
We built Ellipsis because we are TIRED of the status quo code review process: create a PR, ask for review, move on to new task, receive feedback, reacquaint with old code, fix bug, go back to new task... there's too much context switching. With Ellipsis, the reviews are nearly instant and addressing feedback doesn't require checking out an old branch.
❓ Does it work?
Yes. State-of-the-art LLM's aren't good enough (yet) to implement entire features, but they are good enough to catch and fix small mistakes in code. Our data shows that teams that use Ellipsis merge pull requests 13% faster than those that don't. Typically, a developer will get a "Looks good to me!" from Ellipsis before asking for a peer review, resulting in a higher quality discussions with fewer [nit] comments.
Start a free trial to get 7 days of AI Code Reviews at ellipsis.dev 🤖
About Ellipsis (YC W24) on Product Hunt
“AI code reviews & bug fixes”
Ellipsis (YC W24) launched on Product Hunt on August 19th, 2024 and earned 497 upvotes and 93 comments, placing #4 on the daily leaderboard. AI Code Reviews that automatically catch logical bugs, anti-patterns, documentation drift, and can even enforce your team style guide. Simply open a PR to get a code review. Then, if any bugs are found, squash them with 1-click Bug Fixes. Free trial available.
On the analytics side, Ellipsis (YC W24) competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Ellipsis (YC W24) performed against the three products that launched closest to it on the same day.
Who hunted Ellipsis (YC W24)?
Ellipsis (YC W24) was hunted by Hunter Brooks. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Hunter Brooks