Funnel-Transformer VS ai-pr-reviewer

> incidentally, this isn't far off from how the human brain is believed to work (at least with long term memories).

Not as literal words printed somewhere in our mind it isn't. This is more akin to things like the funnel transformer. [0] Nevermind that we hardly understand how our minds actually work.

[0]: https://github.com/laiguokun/Funnel-Transformer

According to their official site, CodeRabbit is an AI-based code reviewer and summarizer for GitHub pull requests, utilizing OpenAI's gpt-3.5-turbo and gpt-4 models. It is designed to be used as a GitHub Action and can be configured to run on every pull request and review comments.

After completing your review, employ automated AI-based code review tools such as CodeRabbit. These tools can quickly analyze code for common issues, style inconsistencies, and potential bugs, providing an immediate second opinion on the PR.

Since its inception, CodeRabbit has experienced steady growth in its user base, comprising developers and organizations. Installed on thousands of repositories, CodeRabbit reviews several thousand pull requests (PRs) daily.

No need to link issues in a PR now, the CodeRabbit AI code review bot can find the relevant issues and linking those with the PR.

FluxNinja [0] founder here. I developed an in-house AI-based code review tool [1] that CodeRabbit is now commercializing [2].

I did it because of the increasing frustration due to the time-consuming, manual code review process. We tried several techniques to improve velocity - e.g., stacked pull requests, but the AI tool helped the most.

[0]: https://www.fluxninja.com

[1]: https://github.com/coderabbitai/ai-pr-reviewer

[2]: https://coderabbit.ai

Our Base Prompts are open-sourced and have gained decent traction. Please check out us - https://github.com/coderabbitai/ai-pr-reviewer

We have been doing this at CodeRabbit[0] for incrementally reviewing PRs and allowing conversations in the context of code changes, giving the impression that the bot has much more context than it has.

For each commit, we summarize diff for each file. Then we create a summary of summaries which is incrementally updated as further commits are made on a pull request. This summary of summaries is saved, hidden inside a comment on a pull request, and is used while reviewing each file and answering the user's queries.

Some of our code is in the open source. Here is the link to the relevant prompt for recursive summarization - https://github.com/coderabbitai/ai-pr-reviewer/blob/main/src...

[0]: coderabbit.ai