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TL;DR - CodeRabbit Secure launched several new features including runtime security validation, multi-repo security deep scans, and enforceable merge gates. We help you identify and fix hidden loopholes that could otherwise be exploited by bad-faith attackers looking for auth bypass, broken access control, SQL injection vulnerability, etc.

Disclaimer - I work at CodeRabbit

TL;DR - use CodeRabbit's defensive AI agents to run a deep-scan of your repo, identify and fix vulnerabilities for free until Nov 8th.

Hey folks - this is Sahil from the CodeRabbit team here. For anyone unfamiliar, CodeRabbit helps you with various aspects of an agentic SDLC including code review and security deep scans.

For the next two weeks we are offering free security deep scans of your repositories. All existing and new users of CodeRabbit are welcome to run a deep scan of your code to find and fix potential security vulnerabilities for free.

CodeRabbit Secure's Deep Scan runs as a semantic analysis of your codebase with a recon -> analysis -> fix kind of agentic workflow. It is intended to be a defensive mechanism to hopefully help you get a leg up before any potential vulnerabilities are exploited by bad-faith actors.

Let us know if you have any questions.

$29? So basically one half decent session to plan and half-build some moderately complex task? Per month?

Hi HN - this is Sahil from the CodeRabbit team. Just wanted to share a nice little milestone we crossed at CodeRabbit.

In the month of Sep '26, CodeRabbit delivered over 1million code reviews in open-source repos! Some interesting trends we noticed:

- The top repos by volume are newer AI/agent tooling: stablyai/orca (5.6k reviews), pingdotgg/t3code (3.9k), manaflow-ai/cmux (3.5k).

- Some established projects show up in the top 10 too: bun, vllm, pnpm, mise.

- Installed on 300k+ public repos. It's free for anyone working on public repos.

On the money side: in August we committed $10M+ (in cash and product subscription value) to open source over 12 months. About $1.3M has been counted toward it so far, per our public tracker (coderabbit.ai/oss)and we look forward to continued investment in the OSS community.

One caveat: the count includes re-reviews of the same PR, so these are review runs, not unique PRs.

Big fumble from Google / Gemini to not be able to dominate in the google drive ecosystem

I'm guessing XAI

I haven't checked the details but I suspect its more to do with not being able to prevent rogue agents from escaping their sandboxes

I expect they’ll change usage limits in some of the plans or introduce new plans with new limits