RightNow AI

RightNow AI is an AI-powered code editor specifically designed for CUDA development and GPU optimization. Think of it as a specialized IDE that understands both your code and your GPU hardware at a deep level. The platform uses artificial intelligence to analyze CUDA kernels, identify performance bottlenecks, and generate optimized versions that can deliver up to 179x performance improvements over baseline implementations.

What makes it special is its hardware-aware approach - it provides suggestions tailored to specific NVIDIA GPU architectures like Ampere, Hopper, Ada Lovelace, and Blackwell. The tool features inline profiling with real-time metrics, serverless GPU benchmarking, and natural language optimization prompts. Founded by Jaber Jaber, RightNow AI aims to democratize GPU programming by making advanced optimization techniques accessible to developers without requiring extensive low-level hardware knowledge.

Using RightNow AI is straightforward, even for developers new to CUDA optimization. Currently in early access, you can join the waitlist at rightnowai.co to get started. Once you have access, the interface works like a familiar code editor but with powerful GPU-specific features built in.

Here's how to get the best results:

• Write CUDA code normally - The editor provides intelligent autocomplete and suggestions

• Use natural language prompts - Ask the AI to optimize specific kernels in plain English

• Check inline profiling - View real-time performance metrics directly in your code

• Run serverless benchmarks - Test your kernels without needing local GPU hardware

• Review AI suggestions - Get hardware-specific optimization recommendations

• Compare performance - See before and after metrics for your optimizations

The platform also offers a command-line tool (RightNow CLI) that's open source and free for personal use. This tool automatically generates multiple optimized variants of your kernels and benchmarks them to find the fastest version. The AI remembers your coding patterns and provides increasingly personalized suggestions over time.

• AI-powered CUDA code editor with real-time profiling

• Hardware-aware optimization for all NVIDIA GPU architectures

• Inline performance metrics and bottleneck detection

• Natural language kernel optimization prompts

• Serverless GPU profiling and benchmarking

• Local LLM support for privacy-focused development

• Multi-GPU orchestration capabilities

• Up to 179x performance improvements

• Open source CLI tool available

• Early access program currently available