AI Tools in Visual Studio
Overview
Microsoft Visual Studio now ships with a suite of AI-powered tools that accelerate coding, reduce errors, and help you adopt modern cloud‑first practices. This tutorial walks you through setup, core features, and real‑world usage of:
- IntelliCode – AI‑assisted IntelliSense
- GitHub Copilot – Generative code suggestions
- Azure AI Integration – Embedding cloud AI services
Getting Started
Ensure you have Visual Studio 2022 version 17.8 or newer.
# Download Visual Studio
winget install Microsoft.VisualStudio.2022.Community
# Verify version
vswhere -latest -property displayVersion
IntelliCode
IntelliCode provides context‑aware completions based on millions of open‑source projects.
- Open Extensions → Manage Extensions.
- Search for
IntelliCodeand install. - Restart Visual Studio.
After installation, you’ll see a star icon next to suggestions. Press Tab to accept.
GitHub Copilot
Copilot generates code snippets from natural language prompts.
// Prompt: generate a function that batches API calls with exponential backoff
async function batchCalls(urls) {
const results = [];
for (const url of urls) {
let attempts = 0;
while (attempts < 5) {
try {
const res = await fetch(url);
if (!res.ok) throw new Error('Network error');
results.push(await res.json());
break;
} catch (e) {
attempts++;
await new Promise(r => setTimeout(r, Math.pow(2, attempts) * 100));
}
}
}
return results;
}
To use Copilot:
- Install the GitHub Copilot extension.
- Sign in with your GitHub account.
- Start typing a comment and press
Ctrl+Enter.
Azure AI Integration
Leverage Azure Cognitive Services directly from your code.
using Azure.AI.TextAnalytics;
var client = new TextAnalyticsClient(
new Uri("https://<your-resource>.cognitiveservices.azure.com/"),
new AzureKeyCredential("<your-key>")
);
var response = client.AnalyzeSentiment("<Your text here>");
Console.WriteLine($"Sentiment: {response.Value.Sentiment}");