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Template Final Assignment
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Sidra Bibi
FD900
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about 1 hour ago
FD900/Final_Assignment_Template
replied to
burtenshaw's
post
about 18 hours ago
You don't need remote APIs for a coding copliot, or the MCP Course! Set up a fully local IDE with MCP integration using Continue. In this tutorial Continue guides you through setting it up.
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
```
llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M
```
3. Create a `.continue/models/llama-max.yaml` file in your project to tell Continue how to use the local Ollama model.
```
name: Llama.cpp model
version: 0.0.1
schema: v1
models:
- provider: llama.cpp
model: unsloth/Devstral-Small-2505-GGUF
apiBase: http://localhost:8080
defaultCompletionOptions:
contextLength: 8192
# Adjust based on the model
name: Llama.cpp Devstral-Small
roles:
- chat
- edit
```
4. Create a `.continue/mcpServers/playwright-mcp.yaml` file to integrate a tool, like the Playwright browser automation tool, with your assistant.
```
name: Playwright mcpServer
version: 0.0.1
schema: v1
mcpServers:
- name: Browser search
command: npx
args:
- "@playwright/mcp@latest"
```
Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
reacted
to
burtenshaw's
post
with 🚀
about 18 hours ago
You don't need remote APIs for a coding copliot, or the MCP Course! Set up a fully local IDE with MCP integration using Continue. In this tutorial Continue guides you through setting it up.
This is what you need to do to take control of your copilot:
1. Get the Continue extension from the [VS Code marketplace](https://marketplace.visualstudio.com/items?itemName=Continue.continue) to serve as the AI coding assistant.
2. Serve the model with an OpenAI compatible server in Llama.cpp / LmStudio/ etc.
```
llama-server -hf unsloth/Devstral-Small-2505-GGUF:Q4_K_M
```
3. Create a `.continue/models/llama-max.yaml` file in your project to tell Continue how to use the local Ollama model.
```
name: Llama.cpp model
version: 0.0.1
schema: v1
models:
- provider: llama.cpp
model: unsloth/Devstral-Small-2505-GGUF
apiBase: http://localhost:8080
defaultCompletionOptions:
contextLength: 8192
# Adjust based on the model
name: Llama.cpp Devstral-Small
roles:
- chat
- edit
```
4. Create a `.continue/mcpServers/playwright-mcp.yaml` file to integrate a tool, like the Playwright browser automation tool, with your assistant.
```
name: Playwright mcpServer
version: 0.0.1
schema: v1
mcpServers:
- name: Browser search
command: npx
args:
- "@playwright/mcp@latest"
```
Check out the full tutorial in the [the MCP course](https://huggingface.co/learn/mcp-course/unit2/continue-client)
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