Programming Tutorials

  The migration from cloud-based AI assistants like GitHub Copilot to local LLMs is driven by data privacy, cost reduction, and the sheer performance of new models like Meta's Llama 3.2. However, the ecosystem is fragmented. A typical Saturday for a developer attempting this switch often ends in frustration. You have Ollama running in the terminal, but the  Continue  extension in VS Code refuses to connect, throwing  ECONNREFUSED  errors or silently failing to generate code. This guide provides a definitive, engineering-grade solution to connecting Llama 3.2 to VS Code. We will resolve the networking conflicts, configure the correct API endpoints, and optimize the  config.json  for low-latency code completion. The Root Cause: Why Connection Refused Happens Before applying the fix, it is critical to understand the architecture failure. The issue rarely lies with the Llama model itself; it is almost exclusively a networking binding issue. 1. The Localhos...