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Our 10 best posts of the year: A 2025 CodeRabbit blog roundup
This year, we dove deep into all kinds of topics, from the philosophical shift toward “Slow AI” to the practical realities of building with increasingly sophisticated LLM models to why you shouldn’t trust threads with 🚀on vibe coding for code you in...
Why 2025 was the year the internet kept breaking: Studies show incidents are increasing
Rising outages, rising risks: What the data tells us In October, the founder of www.IsDown.app went on Reddit to share some disturbing charts. His website, an authoritative source on whether a website is down or not, has been tracking outages since 2...
Behind the curtain: What it really takes to bring a new model online at CodeRabbit
When we published our earlier article on why users shouldn't choose their own models, we argued that model selection isn't a matter of preference, it's a systems problem. This post explains exactly why. Bringing a new model online at CodeRabbit isn't...
It's harder to read code than to write it (especially when AI writes it)
"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 and co-author of The C Programmi...
Gemini 3 for code-related tasks: The dense engineer
TL;DR: It doesn’t just write patches; it writes a complete argument for every change. When Gemini 3 is right, it’s spectacularly right. When it’s wrong, it still sounds right. Every model writes in our house style. Gemini 3 rewrites the rules. All o...
How CodeRabbit's Agentic Code Validation helps with code reviews
The 2025 Stack Overflow survey reveals a paradox: while 84% of developers express confidence in adopting AI tools, nearly half (48%) still distrust the accuracy of their outputs. This tension between optimism and skepticism has reshaped how teams thi...
Opus 4.5 for code-related tasks: Performs like the systems architect
Every model reasons. Opus 4.5 audits. Every new model arrives with the same promise: smarter reasoning, cleaner code, and better answers. But Opus 4.5 from Anthropic doesn’t just reason; it audits. It reads code as if returning to a system it helped ...
GPT-5.1 for code-related tasks: Higher signal at lower volume
TL;DRAfter prompt tuning and integrating it into our stack, GPT-5.1 now delivers the best precision and signal-to-noise ratio (SNR) we’ve seen in reviews, with fewer comments. It tied for the best-in-class error pattern (EP) recall on our hard benchm...
Why emojis suck for reinforcement learning
The simplicity trap Sure, a thumbs up is quick, but is it really teaching your AI reviewer anything useful? Emoji-based feedback feels good, is fast, and universal. On the surface, it even seems to make sense. But code review isn’t a light switch. It...
Announcements
Announcing CodeRabbit Startup Program
In the startup world, speed and quality are often seen as tradeoffs, with AI-powered code reviews you can have both. Startups and small dev teams face numerous challenges shipping code day-to-day while navigating tight deadlines, and meeting user exp...
CodeRabbit Announces $16M Series-A Funding Led by CRV
Exciting news! CodeRabbit has secured a $16 million Series A funding round, with CRV leading the charge. This funding will help us accelerate our mission to transform code quality, security and developer productivity with AI. Reid Christian, General ...
All articles
Our 10 best posts of the year: A 2025 CodeRabbit blog roundup
This year, we dove deep into all kinds of topics, from the philosophical shift toward “Slow AI” to the practical realities of building with increasingly sophisticated LLM models to why you shouldn’t trust threads with 🚀on vibe coding for code you in...
Why 2025 was the year the internet kept breaking: Studies show incidents are increasing
Rising outages, rising risks: What the data tells us In October, the founder of www.IsDown.app went on Reddit to share some disturbing charts. His website, an authoritative source on whether a website is down or not, has been tracking outages since 2...
Our new report: AI code creates 1.7x more problems
What we learned from analyzing hundreds of open-source pull requests. Over the past year, AI coding assistants have gone from emerging tools to everyday fixtures in the development workflow. At many organizations, a part of every code change is now m...
Behind the curtain: What it really takes to bring a new model online at CodeRabbit
When we published our earlier article on why users shouldn't choose their own models, we argued that model selection isn't a matter of preference, it's a systems problem. This post explains exactly why. Bringing a new model online at CodeRabbit isn't...
It's harder to read code than to write it (especially when AI writes it)
"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 and co-author of The C Programmi...
Gemini 3 for code-related tasks: The dense engineer
TL;DR: It doesn’t just write patches; it writes a complete argument for every change. When Gemini 3 is right, it’s spectacularly right. When it’s wrong, it still sounds right. Every model writes in our house style. Gemini 3 rewrites the rules. All o...
How CodeRabbit's Agentic Code Validation helps with code reviews
The 2025 Stack Overflow survey reveals a paradox: while 84% of developers express confidence in adopting AI tools, nearly half (48%) still distrust the accuracy of their outputs. This tension between optimism and skepticism has reshaped how teams thi...
Opus 4.5 for code-related tasks: Performs like the systems architect
Every model reasons. Opus 4.5 audits. Every new model arrives with the same promise: smarter reasoning, cleaner code, and better answers. But Opus 4.5 from Anthropic doesn’t just reason; it audits. It reads code as if returning to a system it helped ...
How to deploy and integrate MCP servers with CodeRabbit
MCP servers integrate AI agents into software applications to carry out system-related tasks based on users’ requests. Platforms like Slack, Sentry, Notion, and GitHub Copilot have adopted MCP-style services to expose their features to AI-driven appl...
