@william_jin engineers now can focus more on algorithm design and performance tuning instead of boilerplate code, so my vision it will be the next tool that every CUDA developer must use
No more wrestling with annual performance tuning - just hit go and let AI handle the heavy lifting boosting your CUDA code by up to 20x with zero extra effort.
Absolutely game-changing. Instant bottleneck detection + AI-driven kernel optimization makes CUDA development so much smoother. Excited to see how this accelerates workflows across different architectures. Huge congrats on the launch! 🔥
Replies
EverTutor AI
wow this is called an amazing product great work man @jaber23 and a huge congratulations on your launch
RightNow AI
Excited for automated profiling! Saves time! 👀
RightNow AI
@shenjun It saves more than time, it's too complicated!!
@jaber23 very agreed!
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@shenjun thanks for the feedback<3
Never imagined this with CUDA. Great work!
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All the best for the launch @jaber23!
RightNow AI
This is awesome! 🚀 Excited to see more innovation around vibe-based coding — CUDA projects usually feel so heavy to start. Big win!
RightNow AI
Wishing you best of luck.You managed to take one of the most painful parts of CUDA dev and turn it effortless.
RightNow AI
@ayesha_mughal1 thank you!! I tried to learn it and faced this problem, so I thought why not build something to make coding more fun:D
helps me optimize kernels without spending nights debugging.
RightNow AI
@jesse_t_glover now you can sleep well:D
WhiteSpace
This could streamline my coding process significantly. How do you envision it transforming the workflow for CUDA engineers?
RightNow AI
@william_jin engineers now can focus more on algorithm design and performance tuning instead of boilerplate code, so my vision it will be the next tool that every CUDA developer must use
No more wrestling with annual performance tuning - just hit go and let AI handle the heavy lifting boosting your CUDA code by up to 20x with zero extra effort.
RightNow AI
@hamza_afzal_butt exactly!!:D
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Varify.io
Congratulations Jaber, you have taken vibe coding to next level. Great work
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Raycast
Should CUDA engineers really be vibe coding?
I mean, an NVIDIA H100 Tensor Core GPU is priced at ~$35,000.
If anyone should avoid vibe coding, I'd think it'd be GPU engineers??
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Tidyread
great！This is what I want！
@nicoleastor yes！
RightNow AI
Elisi : AI-powered Goal Management App
This sounds incredible — finally a real productivity boost for CUDA developers! 🚀
Instant bottleneck detection + AI-optimized kernel generation is game-changing, especially with easy profiling across architectures. 🔥
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@kunal_valrani1 thanks Kunal, feel free to give it a try and tell us about your feedback!!
Whoa. My AI engineers definitely this tool! Congratulations!
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Absolutely game-changing. Instant bottleneck detection + AI-driven kernel optimization makes CUDA development so much smoother. Excited to see how this accelerates workflows across different architectures. Huge congrats on the launch! 🔥
RightNow AI
Amezing product. It should be very usefull and effective
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RightNow AI
@antares_yuan thanksss:D