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AI-powered code editor for NVIDIA GPU kernel development and optimization
┌─────── Product Hunt ────────┐ │ ▲ #1 Product of the Day │ └─────────────────────────────┘
★★★★★ 4.9/5.0 (100+ reviews)
Latest updates and improvements
CLI Swarm Agent with 32 parallel Coder+Judge pairs. Up to 5x faster than torch.compile() with 97.6% correctness.
Profile, benchmark, and emulate PyTorch kernels directly in the editor. Same workflow as CUDA, Triton, TileLang, and CUTE.
CUDA, Triton, TileLang & CUTE support with intelligent documentation retrieval that understands your GPU and code context.
Full macOS support with Apple Silicon detection. Multi-GPU profiling to compare GPU vs GPU side-by-side.
See kernel metrics while typing
Access top models trained on your GPU architecture
Run models locally with Ollama, vLLM, or LM Studio. Your code never leaves your machine.
Tells you exactly what's wrong and how to fix it
From code to deployment in 4 steps
Write GPU code in your preferred DSL
RightNow supports multiple GPU programming languages and domain-specific languages.
Native CUDA C/C++
CUTLASS Templates
OpenAI Triton
PyTorch Framework
Tile Language DSL
What power users actually need
See what your GPU actually executes
Godbolt-style assembly view for GPU kernels. Hover on any line to see the PTX and SASS instructions.
Know exactly what's slowing you down
The AI reads your profiling results and tells you exactly what to fix for your specific GPU.
Scale your testing across hardware
Profile across multiple GPUs at once. Compare metrics side by side and catch regressions early.
Code locally, run on cloud GPUs
Write code on your laptop and execute on cloud H100s instantly. No setup required.
