CodeRabbit
@coderabbitai
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Supercharge your dev team with AI code reviews. Get your free trial now: https://t.co/GxSOapi2As!
San Francisco, CA
Joined April 2023
If anyone knows how challenging manual code reviews are, it’s The Linux Foundation. Before CodeRabbit, they dealt with: + Slow merge time + Hidden bugs + Low dev productivity Now, they’re sharing exactly why they love CodeRabbit in our case study. 👇
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SF CodeTrain
@swyx @coderabbitai makes sense from enterprise POV, but ai codegen tools have a bit different market (technical + non technical people)
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SF CodeTrain
@swyx @coderabbitai makes sense from enterprise POV, but ai codegen tools have a bit different market (technical + non technical people)
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Who wants to see Kawaii merch 👀
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You get more than 3 wishes with this genie though
@tylerlwsmith @coderabbitai Yes. It grants your coding wishes. Kinda.
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I have to praise @coderabbitai 's auto-generation of diagrams in our PRs. They're super helpful in understanding how data flows, especially in our complex codebase. And from these diagrams, I can more easily spot out logical errors or strange architectural decisions. Sure, I
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If anyone knows how challenging manual code reviews are, it’s The Linux Foundation. Before CodeRabbit, they dealt with: + Slow merge time + Hidden bugs + Low dev productivity Now, they’re sharing exactly why they love CodeRabbit in our case study. 👇
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You get more than 3 wishes with this genie though
@tylerlwsmith @coderabbitai Yes. It grants your coding wishes. Kinda.
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1/3 Very last-minute - but it’s happening. We're hosting a hack day with our friends at CodeRabbit this Saturday. If you’re in SF, come hack with us!
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@linuxfoundation CodeRabbit = No more code review bottlenecks After adopting CodeRabbit, The Linux Foundation gets: + Immediate context with summaries + Faster merge time + Immediate reduction in bugs + Boosted Dev Productivity Dive deeper in our case study 👇 https://t.co/D5TnmuYV5P
coderabbit.ai
The Linux Foundation was experiencing slow manual code reviews, leading to code-review bottlenecks. Learn how they ended long review cycles.
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Except this kid has all the answers
Asking an LLM to review the code generated by another LLM is akin to ask a kid to grade another kid's assignment.
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CodeRabbit with the assist
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CodeRabbit with the assist
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Guten Morgen! We're coming to Hamburg with a few friends for a limited access AI hackathon! Stay tuned for details!
Calling on all Builders in northern Germany! We are brining some Silicon Valley energy to Hamburg ⚡ I am super excited to be organizing an SFxHH AI Hackathon with @jansebsteffen and https://t.co/16g0yq4sEw in Hamburg's historic harbor warehouse district. 📅 Agenda: > Live
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The founder turing test
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We run each new model through multiple phases to ensure that it's a seamless experience for our users! > Curiosity > Evaluation > Adaptation > Rollout > Steady-State https://t.co/UOtkVEaqS8
coderabbit.ai
Bringing a new LLM online at CodeRabbit isn't flipping a switch; it's a multi-phase operation that demands precision, experimentation & vigilance.
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Every few months we're blessed with a shiny new LLM. But bringing a new model online at CodeRabbit isn't a case of flipping a switch; it's a multi-phase, high-effort operation that demands precision, experimentation, and constant vigilance. Our own David Loker explains more! 👇
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