Review GitHub PRs with AI/LLMs

Hacker News

Hello HN readers! Our team has built an AI/LLM-driven code review tool that significantly helps improve dev velocity and code quality. Its unique features are: - Line-by-line code change suggestions: Reviews the changes line by line and provides code change suggestions that can be directly committed from the GitHub UI. - Continuous, incremental reviews: Reviews are performed on each commit within a pull request rather than a one-time review on the entire pull request. - Cost-effective and reduced noise: Incremental reviews reduce noise by tracking changed files between commits and the base of the pull request. - Chat with the bot: Supports conversation with the bot in the context of lines of code or entire files, helpful in providing context, generating test cases, and reducing code complexity. - Smart review skipping: By default, skips in-depth review for simple changes (e.g., typo fixes) and when changes look good for the most part. We would love the HN community to try it out in their GitHub repos and provide feedback! We will happily answer any technical questions regarding the sophisticated prompt engineering we did for this project.

Visit product View on Hacker NewsJul 14, 2023

Share card

Actual performance

2points

4comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: context, code · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: code review, ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

My Go library for commenting on GitHub PRs36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Go library for commenting on GitHub PRs

Hacker News2

Find PRs updated after the review23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find PRs updated after the review

Hacker News1

Open-Source Stacked PRs on GitHub60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Source Stacked PRs on GitHub

Hacker News2

GitHub Agent Opening PRs from Issues27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub Agent Opening PRs from Issues

Hacker News2

Critter TUI for reviewing GitHub PRs and agent changes37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Critter TUI for reviewing GitHub PRs and agent changes

Hacker News1

Prpolish, a CLI that uses AI to write and review your GitHub PRs23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prpolish, a CLI that uses AI to write and review your GitHub PRs

Hacker News2

Senior Dev – A GitHub bot to insult your PRs44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Senior Dev – A GitHub bot to insult your PRs

Hacker News1

A GitHub app to easily manage your dependent PRs29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A GitHub app to easily manage your dependent PRs

Hacker News1

Issues reviewing huge PRs? GitHub extension for managing stacked PRs35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Issues reviewing huge PRs? GitHub extension for managing stacked PRs

Hacker News4

GitHub PRs in macOS Menubar – PullBar34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub PRs in macOS Menubar – PullBar

Hacker News2

Browse all products Analyze your launch