RightNow

About RightNow

RightNow is a GPU-focused AI code editor for developers working on GPU kernels and compute workloads. It combines real-time profiling, an accurate GPU emulator, and an AI assistant to help analyze and optimize code within a single environment.

Review

RightNow streamlines several tasks that typically require multiple tools by bringing editing, profiling, emulation, and AI-guided suggestions into one interface. The editor targets developers who need detailed, hardware-aware feedback on kernel performance while reducing context switching between separate analyzers and debuggers.

Key Features

• GPU-native code editor with support for multiple GPU programming languages and DSLs.
• Hardware-aware AI assistant that provides optimization suggestions and answers code questions in plain language.
• Cycle-accurate GPU emulator with high accuracy across many architectures for testing without target hardware.
• Real-time profiling and line-by-line performance analysis integrated into the editor.
• Benchmarking, GPU virtualization, and tools for end-to-end kernel optimization.

Pricing and Value

RightNow is available as a free download with essential features enabled at no cost and optional pro features behind a paid tier. For developers working regularly on GPU kernels, the free version provides immediate value for profiling and basic emulation, while the paid tier unlocks advanced integrations and extended analytics that can save significant development time for production workloads.

Pros

• Combines editing, profiling, and emulation in one place, reducing tool switching.
• Accurate emulator lets you test behavior across many GPU architectures without needing the hardware.
• AI-driven suggestions highlight likely bottlenecks and offer concrete optimization ideas.
• Clean, approachable interface that helps both experienced developers and those newer to GPU work.
• Good integration with existing profiling workflows and collaboration features for teams.

Cons

• Some advanced features are reserved for the paid tier, which may be a barrier for small teams or hobbyists.
• Less experienced users may still need time to interpret low-level profiling output and apply manual fixes.
• Occasional feature overlap with general AI coding tools can make scope boundaries unclear for non-GPU tasks.

RightNow is best suited for developers and teams focused on GPU kernel development who want faster insight into performance issues without juggling multiple specialized tools. It works well for iterative optimization, benchmarking, and CI workflows where emulation and automated profiling reduce reliance on physical hardware.

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