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AI-powered code editor for 
GPU kernel development, custom agents, and stable SSH remote workflows
┌─────── Product Hunt ────────┐ │ ▲ #1 Product of the Day │ └─────────────────────────────┘
★★★★★ 4.9/5.0 (100+ reviews)
Latest updates and improvements
New stable SSH, custom agents with skills and MCP, clear cloud/local LLM list, plus Numba, CUDA Tile, and Mojo support with docs, autocomplete, emulation, profiling, and benchmarking.
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.
See kernel metrics while typing across CUDA, Numba, Mojo, and CUDA Tile
Clear model list for cloud LLMs and local GPU-backed models
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, locally or over SSH
From code to deployment in 4 steps
Write GPU code in your preferred DSL
RightNow supports multiple GPU programming languages and domain-specific languages, including Numba, Mojo, and CUDA Tile.
Native CUDA C/C++
OpenAI Triton
Mojo GPU kernels
PyTorch Framework
CUTLASS Templates
Tile-based CUDA kernels
Numba GPU kernels
Tile Language DSL
Request a new language
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.
