What is the best code editor? Yes, many people answer visual studio codes because VS Code is widely praised for its balance of power, speed, and flexibility. Here's why developers love it:
🧠 Intelligent Features: GitHub Copilot integration offers AI-powered code suggestions and completions.
🔌 Extensions Galore: Thousands of extensions for languages, frameworks, and tools.
🧭 Cross-platform: Works seamlessly on Windows, macOS, and Linux.
🛠 Built-in Tools: Terminal, debugger, Git integration, and more.
🌐 Community & Events: Microsoft hosts a global series of events to help developers master VS Code and Copilot.
Want to learn how to master the codes editors to build autonomous AI or programming with AI. Just visit microsoft/VS-Code-Dev-Days: Repo for VS Code Dev Days content, global in-person series of events focused on VS Code and GitHub Copilot. You will get much knowledge about the VS codes as AI codes editor.
Microsoft offers a variety of technologies and platforms for developing generative AI solutions, enabling organizations to harness the power of AI to create innovative applications and services. There are four technologies that can be adopted by the developer
Azure Open AI Services provides access to advanced AI models, including GPT-4, through easy-to-use APIs. This democratizes AI development by allowing developers of any skill level to integrate AI functionality into their applications without needing specialized knowledge or hardware investments
Azure AI Studio is a unified environment for building, training, and deploying AI models. It offers tools for data preparation, model training, and deployment, making it easier for developers to create and manage AI solutions.
The Copilot Ecosystem includes tools and services that enhance productivity and creativity by leveraging generative AI. It provides capabilities for generating ideas, designing personalized marketing campaigns, and more
The Azure AI Model Catalog offers a collection of pre-trained models that developers can use to jump-start their AI projects. These models cover a wide range of tasks, from language translation to image recognition, providing a solid foundation for building custom solutions.
You can use Visual Studio and Azure By leveraging these technologies and platforms, developers can create powerful generative AI solutions that drive innovation and efficiency across various industries. You can learn more about Generative AI here