The monthly subscription cost of GitHub Copilot isn't just about the $10 fee; it's about the data privacy trade-off. For developers working on proprietary algorithms or sensitive IP, sending code snippets to a cloud endpoint is a non-starter. However, moving to a local LLM often results in a degraded developer experience. The most common complaint is latency . You type a function definition, and the "ghost text" takes three seconds to appear. By then, you've already typed it yourself. This guide provides a production-grade configuration to replace Copilot using Meta's Llama 3 via Ollama and VS Code . We will solve the latency bottleneck by implementing a "Hybrid Model Strategy"—using Llama 3 for high-intelligence chat and a specialized, ultra-low-latency model for tab-autocomplete. The Architecture: How It Works Under the Hood Before pasting configuration files, it is crucial to understand the interaction flow to debug potential issues: Infer...
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