AI-powered code editor for NVIDIA GPU kernel development with profiling, emulation, and optimization.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
RightNow AI — AI-powered code editor for NVIDIA GPU kernel development with profiling, emulation, and optimization. Best for CUDA kernel developers seeking a specialized IDE with built-in profiling and emulation, Machine learning engineers optimizing GPU inference kernels, GPU researchers working on kernel optimization and architectural exploration. Free to start; paid plans from $20/mo.
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RightNow AI fills a critical gap for GPU developers by combining a code editor, profiler, emulator, and AI optimization in one tool. The free tier is limited, but Pro at $20/mo is excellent value. Forge is a standout for enterprises needing custom kernel optimization.
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Last verified: July 2026
Across the latest 4 updates: 3 feature updates and 1 news mention.
Custom agents with skills/MCP, support for CUDA, Triton, Mojo, Numba kernels, SSH/remote GPU improvements.
Multi-agent systems generate CUDA/Triton kernels with 2x-14x speedups over torch.compile on real models.
32-agent swarm generates production kernels up to 5x faster than torch.compile, 97.6% correctness.
Profile, benchmark, and emulate PyTorch kernels in-editor with NCU integration and 86+ GPU arch support.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
31 mentions across 2 sources (Hacker News, Lemmy).
How likely is RightNow AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →RightNow AI is an AI-powered code editor designed specifically for NVIDIA GPU hardware development. It supports multiple DSLs including CUDA, Triton, CUTE, TileLang, PyTorch, Mojo, Numba, and more, providing a unified IDE experience. The editor integrates GPU profiling (NCU), benchmarking, PTX/SASS inspection, and a GPU emulator that supports 86+ GPU architectures without requiring physical hardware. Targeted at CUDA developers, machine learning engineers, and GPU researchers, RightNow AI offers AI assistance through a chat assistant, custom agents with skills and MCP integrations, and GPU-aware autocomplete. The Forge CLI can automatically generate optimized CUDA or Triton kernels from PyTorch code, achieving significant speedups over torch.compile. Key features include real-time profiling, cycle-accurate emulation, multi-GPU comparison (up to 6 GPUs in Pro), automatic kernel fusion, GPU virtualization, and local LLM support for offline use. The editor is SOC 2 Type 2 compliant and backed by Y Combinator. Unlike general-purpose IDEs, RightNow AI is purpose-built for GPU kernel programming—it's hardware-aware from the ground up, with built-in profiling and emulation. Forge enterprise offering provides dedicated infrastructure and custom kernel optimization for organizations serious about inference performance.
RightNow AI is a specialized tool for a specific audience: anyone writing CUDA or Triton kernels for NVIDIA GPUs. If that's you, it's a no-brainer over general-purpose IDEs because it integrates profiling, emulation, and AI autocomplete that understands GPU semantics. The free tier is surprisingly generous with unlimited profiling and benchmarking, but lacks the GPU emulator—a key feature for testing on architectures you don't own. Pro at $20/mo unlocks that plus multi-GPU comparison and AI agents, which is a bargain for solo developers. Forge enterprise is where things get serious: dedicated infrastructure, on-prem deployment, and automated kernel generation. That's aimed at companies like Cohere or Scale AI who run custom inference at scale. If you're a startup doing GPU work, you might get by with the free tier and occasional Forge credits. Compared to alternatives like NVIDIA's Nsight or VS Code with CUDA extensions, RightNow is more cohesive but less familiar. The learning curve isn't steep if you know CUDA, but beginners will struggle. Also, no integrated cloud GPU training—that's a separate product (RunInfra).
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