All articles — Page 12
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...
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....
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...
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....
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....