Accelerate Code Reviews with AI
CodeRabbit = No more code review bottlenecks
After adopting CodeRabbit, The Linux Foundation gets:
+ Immediate context with summaries
+ Faster merge time
+ Immediate reduction in bugs
+ Boosted Dev Productivity
Dive deeper in our case study 👇
https://www.coderabbit.ai/case-studies/the-linux-foundation-ended-manual-code-review-bottlenecks
If anyone knows how challenging manual code reviews are, it’s The Linux Foundation.
Before CodeRabbit, they dealt with:
+ Slow merge time
+ Hidden bugs
+ Low dev productivity
Now, they’re sharing exactly why they love CodeRabbit in our case study. 👇
We run each new model through multiple phases to ensure that it's a seamless experience for our users!
> Curiosity
> Evaluation
> Adaptation
> Rollout
> Steady-State
Every few months we're blessed with a shiny new LLM.
But bringing a new model online at CodeRabbit isn't a case of flipping a switch; it's a multi-phase, high-effort operation that demands precision, experimentation, and constant vigilance.
Our own David Loker explains more! 👇
"Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it."
- Brian Kernighan (co-creator of Unix)
Is it even hard with AI involved?
Let's talk about it 👇
The Vibe Code Cleanup Specialists have landed at AWS RE:Invent 2025!
If you're suffering from dirty code, drop by the booth, chat to the team, and grab some clean merch 🤙🫧
CodeRabbit = No more code review bottlenecks
After adopting CodeRabbit, Langflow has:
+ Better contextual understanding
+ Comprehensive diagrams & holistic code analysis
+ Committable suggestions
+ 50% increase in merge confidence
https://www.coderabbit.ai/case-studies/langflow-boosts-merge-confidence-by-50-with-coderabbit
Open source is booming, but so is maintainer burnout.
Langflow turned to CodeRabbit to keep PR quality high, cut review bottlenecks, and make shipping faster (and saner) for their founder led team.
Find out why Langflow loves CodeRabbit in our latest case study! 👇
Learn more about how it measures up against:
> GPT 5.1
> Opus 4.5
> Sonnet 4.5
https://www.coderabbit.ai/blog/gemini-3-for-code-related-tasks-the-dense-engineer
Gemini 3 trades brevity for understanding.
It does not simply provide a fix; it delivers a short investigation. This depth makes it particularly valuable for large, complex systems.
Let's put it this way, “You don’t skim Gemini 3. You study it.”
Gemini 3’s strongest areas are concurrency and system correctness. It frequently detects interleaving and synchronization issues that other models overlook. It excels at diagnosing the why behind a bug.
Learn more: https://www.coderabbit.ai/blog/gemini-3-for-code-related-tasks-the-dense-engineer
If GPT-5.1 is the decisive teammate and Opus 4.5 the disciplined architect, Gemini 3 is the dense engineer who delivers a fully reasoned diff that is confident, comprehensive, and intent on proving its point.
The bottleneck in software development has shifted from writing code to validating it 🧪
84% of devs trust AI tools, but 48% still distrust the accuracy!
Our latest blog post goes into all things AI code trust, and how we aim to solve it!
Read the full writeup here.
http://www.coderabbit.ai/blog/opus-45-for-code-related-tasks-performs-like-the-system-architect
Strengths:
+ High signal density (≈80% important comments).
+ Consistent structure across languages.
+ Strong concurrency and lifecycle reasoning.
+ Clear, concise, and professional tone.
+ Lower verbosity than Sonnet 4.5 with more context than GPT-5.1.
Opus 4.5 sits between Sonnet 4.5’s high-volume, verbose style and GPT-5.1’s lean, surgical precision.
It delivers higher per-comment precision and a greater share of meaningful findings than Sonnet 4.5.
http://www.coderabbit.ai/blog/opus-45-for-code-related-tasks-performs-like-the-system-architect
We benchmarked Opus 4.5 on coding tasks!
We found it equals GPT 5.1 in many respects and is an improvement over Sonnet 4.5.
If Sonnet 4.5 feels like a teacher and GPT-5.1 like a teammate, Opus 4.5 is the architect reviewing your PR!
You'll need a few things to follow along but it'll all in the blog!
https://www.coderabbit.ai/blog/how-to-deploy-and-integrate-mcp-servers-with-coderabbit