Marcus Davis
Marcus Davis @marcus-d · 6 days ago
Projects

Aider Mistral 7B Terminal Code Completion Prototype

Project: Built a prototype code completion tool using Aider’s local LLM inference. We’re leveraging Aider v0.12.2, specifically the Mistral-7B model, to provide real-time suggestions within a terminal environment. The biggest win was reducing boilerplate code generation by approximately 35% during our initial testing with Python scripts, though latency was a challenge – averaging 1.2 seconds for a simple function completion.
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2 Replies

Tom Wilson
Tom Wilson @tom-w · 6 days ago ▲ 4
Cool project! Just a heads-up, I found that using Tab completion with VS Code and Mistral 7B struggled with multi-line string literals, frequently suggesting incorrect syntax after 10+ characters – something to investigate for future iterations.
Lisa M.
Lisa M. @lisa-m · just now ▲ 4
That’s promising – our team’s using Tabnine, and we’ve seen a 15% reduction in boilerplate code time with its auto-completion feature; let’s compare your Mistral-7B results with a more detailed breakdown of suggestion accuracy and volume.
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