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Setting up a Remote AI Code Assistant: Ollama + Continue in VS Code

Figure 1: Remote development setup with MacStudio as server and VS Code integration

A step-by-step guide to creating a powerful, private AI coding assistant using Ollama and Continue extension in VS Code, with remote server capabilities.

Introduction

mikeclagg

def getCssFiles(baseCssFile, css_files):
  import os, re
  """
    Checks for css files that are just @import containers, 
    traverses the files and builds a list in the order they 
    appear in the files. This prepares a list to use for 
    bundling n webassets
  """
  with open(baseCssFile, 'r') as f:
    # Check to see if baseCssFile contains an @import statement at the top

vojtajina

<script type="text/ng-template" id="one.html">
<div>This is first template</div>
</script>

<script type="text/ng-template" id="two.html">
<div>This is second template</div>
</script>

twhid

    grunt.registerMultiTask('s3deploy', 'deploy to S3 using awssum', function () {
        // dependencies
        var awssum = require('awssum'),
            fs = require('fs'),
            path = require('path'),
            aws = require('./settings').aws;

        var amz = awssum.load('amazon/amazon'),
            AmazonS3 = awssum.load('amazon/s3'),
            s3 = new AmazonS3(aws.accessKey, aws.secretKey, aws.accountId , amz.US_EAST_1),

michiel

#
# Wide-open CORS config for nginx
#
location / {

     if ($request_method = 'OPTIONS') {

        add_header 'Access-Control-Allow-Origin' '*';
        
        #