Agents can create PRs in minutes, but understanding them still takes work. CodeRabbit Change Stack connects a PR's purpose, behavior, dependencies, and code so reviewers can really verify it before approving. Do you understand what you're about to merge?

POV of me preaching the Rabbit to a bunch of smart people... 🐰🤓 Last night was fun! Thank you so much @MelGoesTech & @temporalio for co-hosting and @nyghtowl, @bdougieYO, Chris Brox and @lizziepika for sharing the stage.

AI coding tools optimize for one dev, not a whole org. Enterprise teams need governance across everyone. CodeRabbit Agent is now live in Slack code channels: full agentic SDLC, context, memory, and cost visibility, right where your team already works. Get started today.

Slack Code — Agentic coding is now a team sport. With Slack Code, your team and agents can plan, write, and review builds together. New agents in Slack: - Cedar - @coderabbitai - @datadoghq - @FactoryAI - @Lovable - @MistralAI - @NanoClaw_AI - @Replit - Rhythms - @getskydive - @Snowflake

A list of open PRs can be complete and still not tell you what to do next. > Does this PR need attention now? > What it’s important? > What’s the next action? You shouldn't have to open each PR to find out.

I’m hosting Durable AI in SF with @MelGoesTech this Thursday! 🔥 Talks from @temporalio @antigravity @entirehq @scalekitinc @papercompute + @coderabbitai. A few seats left. I’d love a few more exceptional builders in the room! Looking forward to seeing @nyghtowl, @lizziepika, @satyapd, Chris Brox and @bdougieYO on stage!

Astra vs Fable 5: What changes for developers? we had a chat about where Astra excels, where it still needs work, and the new agent capabilities it enables. we then compared both models on bug detection, useful feedback, speed, and cost. Watch the full 1hr 7 minute chat below!

Astra vs Fable 5: What changes for developers? we had a chat about where Astra excels, where it still needs work, and the new agent capabilities it enables. we then compared both models on bug detection, useful feedback, speed, and cost. Watch the full 1hr 7 minute chat below!

Software factories can automate much of the path from intent to production. The review gate needs to scale with them: fast paths for routine changes, deeper review where mistakes are expensive, and a clear view of what’s shipping.

Software factories can automate much of the path from intent to production. The review gate needs to scale with them: fast paths for routine changes, deeper review where mistakes are expensive, and a clear view of what’s shipping.

OpenAI cutting off access to Cursor didn't just expose vendor risk, It exposed a product mistake a lot of AI tools still make: putting a model picker in front of the user. As a creator of an AI product, this event reminded us at CodeRabbit of why model choice should be handled by the product, not the user: > Most developers can't tell you which model performs best on a given task. The right answer changes by task, not by preference. A model dropdown doesn't empower the user, it just asks them to guess. > Every model you let people pick creates a habit and an expectation. That's the wrong thing to build when models improve, get deprecated, or get cut off. > Almost no one adopting these tools can effectively weigh cost vs. performance tradeoffs across models in real time. Given that, making the wrong choice is almost inevitable. Model choice and routing belongs inside the product, not in the UI. The best AI tools evaluate and select the right model for the task automatically, so results are optimized and stay consistent no matter which model is best fit for purpose today. Choice feels like control, but engineered routing actually is.

langflow. bun. ant-design. nuxt. vue. mermaid. pnpm. trpc. Over 600,000 GitHub stars between them, and CodeRabbit reviews it all, for free. Next stop: more than $10M into OSS over the next year, counted at what it costs us. Heres how and why 👇

langflow. bun. ant-design. nuxt. vue. mermaid. pnpm. trpc. Over 600,000 GitHub stars between them, and CodeRabbit reviews it all, for free. Next stop: more than $10M into OSS over the next year, counted at what it costs us. Heres the how and why 👇