Developers when they see the CodeRabbit Codex Plugin

AI Code Reviews | CodeRabbit | Try for Free AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.

The faster your engineers ship with AI, the more code review becomes the bottleneck!

freee saw it coming before it became a crisis 🚨

> 54% acceptance rate on critical issues
> 32.8 weeks of reviewer time saved
> Reduced manual code-review burden

→ www.coderabbit.ai/case-studie...

When your vibe-coded app is functional but ugly af

AI Code Reviews | CodeRabbit | Try for Free AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.

Read more about PR Usage-Based Add-On here!

docs.coderabbit.ai/management/...

www.coderabbit.ai/blog/Introd...

We just shipped the PR Usage-Based Add-On so you can keep shipping without worrying about hitting limits!

Use more when you need it. Pay only for what you use.

Opt in from the CodeRabbit dashboard.

Future of MCP: Bill Easton on FastMCP's 1M+ Daily Downloads & AI Agents How do you scale an open-source project to over a million downloads a day? In this episode, Hendrik sits down with Bill Easton, core maintainer of FastMCP an...

www.youtube.com/watch?v=lBj...

How do you scale an open-source project to over a million downloads a day? 🤔

We sit down with Bill Easton, core maintainer of FastMCP and Director of Product at Elastic, to dive deep into the Model Context Protocol (MCP) ecosystem.

Full video in the comments! 👇

CodeRabbit Documentation - AI code reviews on pull requests, IDE, and CLI Automatically implement fixes for unresolved CodeRabbit review findings.

Get started with Autofix today!

www.coderabbit.ai/blog/you-do...
docs.coderabbit.ai/finishing-t...

CodeRabbit already tells you what to fix. Now it fixes it too.

@​coderabbitai autofix

All unresolved findings, implemented. Commit to your branch or open a stacked PR.

Introducing CodeRabbit Ads! 🎉

To offset the growing cost of tokens, we are introducing ads to our free tier.

What this means:

> Free users will see ads of differing size based on the size of the PR.
> Clicking an ad will give you a free review!

Plan First, Ship Faster: How CodeRabbit Built Agent Orchestration on Claude | Webinars \ Anthropic We’ll walk through live demos and share best practices to arm your teams in building industry-leading agent experiences. Register now.

Register now to attend!

www.anthropic.com/webinars/ho...

Join CodeRabbit’s VP of AI, David Loker, for a live look at how our Agent Orchestration works and what builders can learn from the architecture!

> AI’s Hidden Quality Tax
> Intent vs Execution Gap
> CodeRabbit: Plan -> Code -> Review

Register below!

CodeRabbit Documentation - AI code reviews on pull requests, IDE, and CLI Define reusable, named recipes that run agentic code changes on your pull requests.

Want to deep dive?

Heres the docs!

docs.coderabbit.ai/finishing-t...

Same PR comments every sprint?

We just shipped Custom Finishing Touch recipes.

Give it a try!

We just hit 200k installs on GitHub!

Thats enough to fill Webley Stadium...twice! 🎉⚽

🤫

From Copilot to agents: The history of AI coding Trace the evolution of AI coding: how simple models became autonomous agents that plan, execute, and ship software independently.

Starting with the Transformer paper in 2017 to background agents opening PRs in 2026, Read the full breakdown here:

www.coderabbit.ai/blog/a-very...

A dark background features a coding icon with circuit patterns, highlighting AI coding evolution from Copilot to advanced agents.

From predicting the next line to opening pull requests autonomously, the history of AI coding agents isn't just autocomplete getting smarter!

It's the systematic decomposition of software engineering into machine-operable layers

And we've covered the whole arc 👇

Meet CodeRabbit Plan: Better plans. Faster deployments. CodeRabbit Plan helps teams using coding agents plan collaboratively and align intent before anyone writes a line of code.

The problem isn’t your agent, It’s the missing plan.

Try today: www.coderabbit.ai/plan

Learn more: www.coderabbit.ai/blog/meet-c...

Introducing CodeRabbit Plan.

Hand those prompts to whatever coding agent you use and start building!

Practical Context Engineering: Eliminate Bugs With High-Signal AI Code Reviews AI-assisted coding has sped up code generation, but human-only code reviews are now the bottleneck. Too many pull requests (PRs), not enough review...

Link to the session:

www.nvidia.com/gtc/session...

🎙️ Our VP of AI David Loker are speaking today at GTC26!

Session S81612: Practical Context Engineering; Eliminate Bugs With High-Signal AI Code Reviews

→ Fix 50% more bugs
→ Ship 50% faster
→ Real context-engineering playbook

→ 11:00 - 11:40 PDT

Gemini 3.1 Pro for code-related tasks We evaluated Gemini 3.1 Pro and found it leaves fewer, more focused comments with a higher signal-to-noise ratio, but also surfaces fewer bugs overall

Bottom line:

Gemini 3.1 Pro →
✅ higher signal-to-noise
✅ more focused comments
❌ slightly lower bug coverage
❌ weaker on concurrency

Whether that’s better depends on your team’s tolerance for noise.

www.coderabbit.ai/blog/gemini...

Gemini also seems to know when it's right.

Passing comments vs failing comments:
> 38% more assertive
> 33% longer
> more likely to include code

When Gemini is confident and detailed, it’s usually correct.

But there’s a tradeoff.

Bug coverage:
> Gemini → 60.9% EP detection
> Baseline → 65.2%

So Gemini produces cleaner reviews, but misses a few more bugs.

Signal-to-noise ratio was where Gemini really stood out.

> Gemini SNR: 3.5
> Baseline SNR: 2.6

Meaning: when Gemini comments on something, it’s more likely to be a real issue.

Gemini 3.1 Pro leaves 24% fewer actionable comments than our baseline.
But they’re more likely to matter.

Precision:
> Gemini → 33.3%
> Baseline → 29.8%

Less chatter, slightly better aim.

We benchmarked Gemini 3.1 Pro for PR review against our internal CodeRabbit baseline.

Result:
> Fewer comments.
> Higher signal-to-noise.
> But slightly fewer bugs detected.

Let's get into it. 🧵

Pre-Merge Checks: Built-in & custom PR rules enforced Pre-Merge Checks automatically evaluate a pull request whenever it opens or updates. Instead of relying on reviewers to mentally track every policy.

Learn more about our pre-merge checks here!

www.coderabbit.ai/blog/pre-me...