Go into a project without a plan and you'll spend more time fighting problems than building. Here's the story of how we built a planning layer on Claude to fix that. 👇 https://lnkd.in/gapwFrff
CodeRabbit
Software Development
San Francisco, California 30,905 followers
Cut Code Review Time & Bugs in Half. Instantly.
About us
CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over a thousand organizations, including The Economist, Life360, ConsumerAffairs, Hasura, and many more, to improve their code review workflow. CodeRabbit is SOC 2 Type 2, GDPR certified, and doesn't train on customer's proprietary code.
- Website
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https://coderabbit.ai
External link for CodeRabbit
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2023
Products
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CodeRabbit
DevOps Software
Ship quality code faster with CodeRabbit's AI code reviews. We offer codebase-aware line-by-line reviews with 1-click fixes to speed up your code review process. Merge PRs 50% faster with 50% fewer bugs.
Locations
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Primary
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San Francisco, California, US
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Bengaluru, IN
Employees at CodeRabbit
Updates
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Catch David Loker tomorrow on the O'Reilly half-day conference!
Tomorrow, I'll be hosting a half-day conference in O'Reilly on "Driving ROI from AI Deployments". The (outstanding!) technical speakers will make clear how you turn (agentic) AI investments into measurable value. DETAILS • When: Tuesday April 21st • Time: 9am PT / Noon ET • Duration: Three hours • Where: Online at oreilly.com WHY THIS EVENT IS ESSENTIAL • Enterprise interest in AI has never been higher, yet many organizations still struggle to move from pilots to production and from demos to real ROI. • Despite significant investment, the gap between experimentation and commercially successful deployment remains stubbornly wide, and most AI projects fail to deliver meaningful returns. HIGHLY INTERACTIVE STRUCTURE • Each speaker will provide a half-hour talk followed by 15 minutes of interactive Q&A with the audience. • At the end of the event, all of the speakers will engage in a group discussion that includes audience Q&A as well. THE SPEAKERS • Larissa Schneider, co-founder of Unframe (Bay Area startup that raised a $50m Series A!), will cover what works in enterprise AI deployments, what does not, and why many initiatives stall despite strong technical teams. • David Loker, VP of AI at CodeRabbit (also a Bay Area startup; recently valued at $550m) will reveal how his team rolls out such slick production AI software that automatically reviews millions of pull requests per week. • Many-time bestselling author and serial AI entrepreneur Sinan Ozdemir will deliver rapid-fire case studies and staggering charts that reveal what actually works when deploying agentic AI systems. This event is brought to you by Pearson, the global giant of learning. Thank you to Dayna Isley, Debra Williams Cauley, Julie Phifer, M.B.A. and so many others at Pearson for bringing this "AI Catalyst" series of conferences to life. See my comment below to register. You can get a free 7-day trial of O'Reilly if you don't already have access through your employer or educational institution ⬇️ #ai #agenticAI #enterpriseAI #AIdeployments #AIROI #conference #oreilly
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Think OpenAI and Anthropic are the only players in the AI game? Think again. Open-source AI models are quietly catching up to frontier models, and right now, they're already capable of handling over 50% of real-world production requests! In this episode of the CodeRabbit podcast, we sit down with Erfan Al-Hossami and a lead researcher from Martian (Shriyash U.) to break down the rapidly shifting landscape of open-source AI! https://lnkd.in/etZjKpGc
The Hidden Open Source AI Models You're Sleeping On
https://www.youtube.com/
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CodeRabbit reposted this
We ran Anthropic's Claude Opus 4.7 against our hardest benchmark - complex concurrency bugs that require multi-step reasoning. Almost 20% better than previous generations📈 Here's what we did to get it production-ready and what you can take from it for your own stack 👇
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We ran Anthropic Claude Opus 4.7 against our hardest benchmark - complex concurrency bugs that require multi-step reasoning. Almost 20% better than previous generations. Here's what we did to get it production-ready and what you can take from it for your own stack 👇 https://lnkd.in/eqVS_T6h
What Claude Opus 4.7 means for AI code review
https://www.youtube.com/
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CodeRabbit reposted this
The faster your engineers ship with AI, the more code review becomes the bottleneck! freee saw it coming before it became a crisis! > 54% acceptance rate on critical issues > 32.8 weeks of reviewer time saved > Reduced manual code-review burden → https://lnkd.in/gdMst2Sq
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The faster your engineers ship with AI, the more code review becomes the bottleneck! freee saw it coming before it became a crisis! > 54% acceptance rate on critical issues > 32.8 weeks of reviewer time saved > Reduced manual code-review burden → https://lnkd.in/gdMst2Sq
