Get started with AI-powered chat conversations with GitHub Copilot in Visual Studio Code, inline while you're coding, or in a separate Chat view.

Python data science tutorial demonstrating the use of common data science and machine learning libraries with Visual Studio code Jupyter Notebook support.

Connect over SSH with Visual Studio Code

Visual Studio Code Remote Development Frequently Asked Questions (FAQ) for SSH, Containers, and WSL

Run a set of prompts with variables or function calls with an imported or synthetically generated dataset towards the selected models and parameters.

Evaluate AI models, prompts, and agents using AI Toolkit's comprehensive evaluation system. Import datasets, run evaluations with built-in evaluators like F1 score, relevance, coherence, and similarity, or create custom LLM-based and code-based evaluators. Visualize and compare results in tables and charts.

Use custom dataset to fine-tune a generative AI model in the Azure cloud or locally with GPUs. Deploy the fine-tuned model to the Azure cloud or download incremental files from fine-tuned model.

Use chat agent mode in VS Code to start an agentic code editing session to autonomously make edits and invoke tools. Use built-in tools, MCP tools, or tools from extensions.

Learn how to customize GitHub Copilot Chat with custom instructions and reusable prompt files to align AI responses with your coding practices and project requirements.

Learn about Visual Studio Code collected telemetry and how to opt out.