Local AI Models for Coding 2026: Ollama Setup and Best Models

A developer shares their experience running local AI coding models alongside cloud tools like Claude and Cursor. After being stranded without internet on a flight, they started using Ollama for ~40% of coding tasks. The post covers why developers go local (privacy, latency, cost, offline use), a practical setup guide for Ollama with Qwen3-Coder, DeepSeek R1 14B, and Llama 4, hardware requirements for Apple Silicon and NVIDIA GPUs, and an honest breakdown of when local models win vs. cloud. The recommended hybrid strategy: use local for autocomplete, small refactors, and boilerplate; use cloud for complex architecture, large-context tasks, and agentic workflows.