Mar 8, 2023 · With new generative AI tools shaking up the software development space, there are now more than 400 AI-infused extensions in the Visual Studio Code Marketplace. Here's a look at the top 10, ranked by the number of installs. [Click on image for larger view.] Top 10 AI Tools for VS Code (source: VS Code Marketplace ).

AI engineers can use AI Toolkit to discover and try popular AI models easily with playground that has attachment support, run multiple prompts in batch mode, evaluate the prompts in a dataset to AI models for the popular evaluators, and fine-tune/deploy AI models.

Nov 29, 2023 · In this article, I will outline the steps for configuring VS Code for data scientists and machine learning engineers. I’ll start by listing extensions that augmente your programming environment. Then, I will share some settings and keybindings …

VS Code offers extensive support for Python through its Python extension, which includes features like IntelliSense, linting, debugging, and Jupyter Notebook integration. These features are crucial for efficient Python development in data science and AI. Start by downloading and installing VS Code from the official Visual Studio Code website.

Mar 26, 2025 · You'll find guidance on Playground, working with AI models, fine-tuning local and cloud-based models, and more. In this article, you'll learn how to: VS Code must be installed. For more information, see Download VS Code and Getting started with VS Code.

Feb 10, 2025 · Visual Studio Code (VS Code) is a powerful, lightweight, and extensible code editor that is widely used for data science and AI projects due to its ability to handle Python, Jupyter notebooks, and more within a single environment.

Mar 13, 2025 · Explore 5 top VsCode plugins that integrate DeepSeek for AI programming. From free tools like Continue to powerful options like CodeGPT, enhance your coding experience with AI. The impact of AI...

Jan 16, 2024 · Now that you know why Python is one of the top programming languages, here are the 10 best python libraries for machine learning and AI: 1. NumPy is widely regarded as the best Python library for machine learning and AI. It is an open-source numerical library that can be used to perform various mathematical operations on different matrices.

To effectively work with vector databases and leverage the power of large language models, it’s essential to set up a suitable development environment. In this comprehensive guide, we will walk you through the steps required to configure Visual Studio Code (VS Code), Python, and the OpenAI API key.

Apr 2, 2025 · Start by installing the following key extensions: Python: This extension provides essential features such as code highlighting, IntelliSense, and debugging support, making it indispensable for Python development. Pylance: Enhances the Python experience with fast and feature-rich language support.