Nativ is a macOS app that runs AI models locally using MLX, offering a chat interface and API server.
A developer shares experiences running small local AI models for agentic coding, evaluating hardware, speed, tool calling, and code quality.
Explores the viability of running local AI models for coding, covering hardware, performance, and quality factors.
Explores the challenges of using local AI models for coding agents, focusing on usability gaps like tool parameter streaming.
Running GitHub Copilot CLI offline with GPU-accelerated local models, comparing performance with CPU-only setup in a real .NET project.
Testing GitHub Copilot CLI offline with local AI models on CPU-only hardware, evaluating performance for .NET development tasks.
Analysis of rising AI inference costs and the need for multi-model strategies to manage expenses.
