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RightNow AI Code Editor

RightNow AI Code Editor

The first GPU-native code editor with AI

Website rightnowai.co
Overview

What it is

RightNow AI is the #1 GPU AI code editor. It combines GPU profiling, benchmarking, AI optimization, GPU virtualization, and a full GPU emulator in one environment to help developers analyze and optimize CUDA code faster

Intent

I need it when

Compare kernel performance across multiple GPU architectures for production deployment

Pro tier enables multi-GPU performance comparison (up to 6 GPUs) with stable SSH remote access. Natural language profiling translates performance metrics into actionable insights for scaling decisions.

Reduce GPU infrastructure costs through automated kernel optimization

Enterprise Forge tier generates drop-in replacement kernels benchmarked against torch.compile(max_autotune), targeting datacenter GPUs (B200, H200, H100, A100, L40S). Dedicated infrastructure and custom deployment options support cost-sensitive production environments.

Optimize GPU kernel performance and identify bottlenecks quickly

The editor includes NCU integration, automated benchmarking, config comparison, and bottleneck detection. PTX/SASS inspection and register pressure analysis provide deep hardware insights. AI-powered suggestions generate GPU-optimized code variants.

Maintain code privacy while using AI-assisted development

RightNow AI supports local LLM execution via Ollama and vLLM, keeping code on-machine. Pro and Forge tiers offer OpenRouter integration with 15+ providers. Enterprise Forge includes dedicated infrastructure with no shared resources and NDA/IP protection.

Write and debug CUDA kernels efficiently without owning multiple GPU hardware

RightNow AI provides GPU emulation supporting 86+ NVIDIA architectures, allowing developers to test kernels on A100, H100, and other GPUs without physical hardware. Real-time profiling and benchmarking integrated into the editor accelerate kernel development cycles.

Drop

Not a fit when

  • User develops for non-NVIDIA GPUs or AMD/Intel hardware; editor is CUDA-specific
  • User lacks NVIDIA CUDA Toolkit 11.0+ or CUDA-capable GPU for local development
  • User requires on-premise deployment or custom SLA; only available in enterprise Forge tier
  • User needs CI/CD pipeline integration; feature marked as coming soon
  • User develops in languages other than CUDA, Triton, CUTE, or TileLang
Commercials

Pricing

Freemium with paid Pro tier ($20/mo) and enterprise Forge tier (custom pricing) View pricing