AI-Powered Coding

Smart Autocomplete

Context-aware CUDA completions with Fill-in-the-Middle (FIM) optimization. Supports 20+ FIM-capable models including DeepSeek R1, Codestral 2501, and StarCoder2.

• Intelligent CUDA kernel suggestions
• Hardware-aware memory patterns
• Automatic optimization recommendations
• Architecture-specific code completion

Ctrl+K Editing

Select any code and press Ctrl+K to describe changes in natural language:

• "Optimize this kernel for memory bandwidth"
• "Add error checking to this CUDA call"
• "Convert this to use shared memory"
• "Refactor this for better occupancy"

Chat Integration

Full project context with CUDA-specific knowledge:

• Ask questions about GPU architecture optimization
• Get recommendations for specific hardware (Ampere, Ada Lovelace, Hopper)
• Troubleshoot CUDA compilation and runtime issues
• Receive performance improvement suggestions

Hardware-Aware Features