Optimize CUDA kernels with a LangGraph agent loop
Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels.
Source
bertaye on Hacker News · 2026-09-25 · Project link
Written in our own words. Credit to the original author. Link checked 2026-10-15.
What they did
Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels.
Result (as claimed)
Agents iterate on kernels with real benchmarks.
Tools they used
The source does not name specific tools.
Cost: Pricing depends on the tools you pick; check each official pricing page.
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You are helping me set up this AI use case end to end in Claude Code. Goal: Optimize CUDA kernels with a LangGraph agent loop What the original author did: Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels. Reported result (as claimed by the author): Agents iterate on kernels with real benchmarks. Source: https://news.ycombinator.com/item?id=49842596 Tools they used: not named in the source Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Codex. Goal: Optimize CUDA kernels with a LangGraph agent loop What the original author did: Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels. Reported result (as claimed by the author): Agents iterate on kernels with real benchmarks. Source: https://news.ycombinator.com/item?id=49842596 Tools they used: not named in the source Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Grok Bot. Goal: Optimize CUDA kernels with a LangGraph agent loop What the original author did: Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels. Reported result (as claimed by the author): Agents iterate on kernels with real benchmarks. Source: https://news.ycombinator.com/item?id=49842596 Tools they used: not named in the source Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
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