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When we started CodeRabbit, the idea was pretty simple: since all developers hate code reviews, why not make them faster and easier? After all, no one enjoys leaving the same comment about variable naming practices or style conventions for the tenth ...
The simplicity trapSure, 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...
For as long as we’ve been building with machines, we’ve followed one core rule: faster is better. Lower latency, higher throughput, less waiting; that was gospel. Nobody wanted to wait 600ms for a button to respond or watch a spinner that lasts longe...
For developers and product builders, one assumption has guided the last few years of LLM application development. To improve your product, just swap in the latest frontier large language model. Flip a single switch and your tool’s capabilities level ...
Sonnet 4.5 is Anthropic’s newest Claude model and in our code review benchmark, it feels like a paradox: more capable, more cautious, and at times more frustrating. It catches bugs Sonnet 4 missed, edges closer to Opus 4.1 in coverage, and even surfa...
CodeRabbit’s code reviews help developers fix bugs and ship code. We recently wrote about benchmarking GPT-5 and opined that the model was a generational leap in reasoning for our use case of AI code reviews. As we rolled out to our wider user base, ...
Last week, we announced CodeRabbit’s $60 million Series B. To celebrate, we did what any responsible, developer-focused software company would do: we made a funny video.Not with all the money, to be clear. But we did decide to celebrate with somethi...
Open source is the foundation of modern software development. From package managers and developer tools to frameworks and infrastructure, open source projects power nearly every piece of software we use today – including CodeRabbit itself. These proj...
Every dev team knows the pain of code reviews if performed in isolation. An AI tool (or even a teammate) can comment on syntax, style, and patterns, but without business requirements, deployment dependencies, or organizational knowledge, it’s just gu...
Once upon a time, getting context into an LLM meant stringing together hacks, prayers, vector strategies, and overly complex RAG pipelines. Then came the Model Context Protocol (MCP), a clean, modular way to serve external data to models in productio...
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...
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 ...
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