Selfcoder - Local AI coding assistant

What it does

Copilot like experience with local models. Local models are much less forgiving when you give them the wrong context. If the prompt includes too much irrelevant workspace data, smaller models quickly become slower, less accurate, or start missing the actual problem. Selfcoder tries avoid that by building the request around the specific task instead of blindly pushing too much of the workspace into the prompt. It adapts to the model’s context length and prioritize by available context window

Extension for Visual Studio Code - Local coding agent powered by Ollama, LM Studio or vLLM — Qwen, DeepSeek, Gemma, Llama, Kimi, GLM and more. A self-hosted Copilot alternative.

Run a coding agent through Ollama, LM Studio, vLLM or any OpenAI-compatible server like llama.cpp. A self-hosted Copilot alternative - local, private, and subscription-free. Selfcoder brings self-hosted AI coding workflows into Visual Studio Code without locking you into a hosted subscription. Connect it to LM Studio, Ollama, vLLM, llama.cpp, or another OpenAI compatible server, choose a model, and work from a dedicated sidepanel or VS Code native Copilot Chat. It brings AI assistance into your development workflow while giving you control over where code, prompts, files, and workspace context are processed. By default, requests are routed to the backend endpoint you configure, typically a…from marketplace.visualstudio.com

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