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CodeRabbit's AI code reviews now support NVIDIA Nemotron

CodeRabbit's AI code reviews now support NVIDIA Nemotron

TL;DR: Blend of frontier & open models is more cost efficient and reviews faster. NVIDIA Nemotron is supported for CodeRabbit self-hosted customers. We are delighted to share that CodeRabbit now supports the NVIDIA Nemotron family of open models amon...

01.05.26
2025 was the year of AI speed. 2026 will be the year of AI quality.

2025 was the year of AI speed. 2026 will be the year of AI quality.

The year 2025 will be remembered as the moment AI-assisted software development entered its acceleration era. Improvements in the capabilities of coding agents, copilots, and automated workflows allowed teams to move faster than ever. But alongside t...

12.31.25
Measuring what matters in the age of AI-assisted development

Measuring what matters in the age of AI-assisted development

Every engineering leader I talk to is asking the same question: "Is AI actually making us better?" Not "are we using AI" (everyone is). Not "is AI generating code" (it clearly is). And not even, “What percentage of our code is AI generating?” (unless...

12.18.25
Why 2025 was the year the internet kept breaking: studies show incidents are increasing

Why 2025 was the year the internet kept breaking: studies show incidents are increasing

Rising outages: 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 2022. And he ha....

12.18.25
Our new report: AI code creates 1.7x more problems

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....

12.17.25
Behind the curtain: What it really takes to bring a new model online at CodeRabbit

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....

12.05.25
It's harder to read code than to write it (especially when AI writes it)

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....

12.04.25
Gemini 3 for code-related tasks: The dense engineer

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...

11.26.25
Opus 4.5 for code-related tasks: performs like the systems architect

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 ....

11.24.25