Vue.js debugging in Chrome and VS Code
A collection of recipes for debugging various technologies and frameworks using Visual Studio Code.
What is Vue.js debugging in Chrome and VS Code?
VS Code Recipes is a GitHub repository containing a collection of debugging recipes and configuration examples for Visual Studio Code. It provides step-by-step guides for setting up debugging environments for various technologies like Vue.js, Angular, React, Node.js, Python, and AWS Lambda, helping developers streamline their debugging workflows.
Developers using Visual Studio Code who need to configure debugging for specific frameworks, runtimes, or testing tools, particularly those working with JavaScript/TypeScript stacks, full-stack applications, or cloud functions.
It saves time by offering ready-to-use debugging configurations and best practices for a wide range of technologies, eliminating the need to piece together documentation from multiple sources and reducing setup friction.
Overview
VS Code Recipes is a curated collection of guides and examples demonstrating how to configure and use Visual Studio Code's debugging capabilities with specific technologies, frameworks, and tools. It helps developers set up efficient debugging workflows across different stacks without needing to search through scattered documentation.
Key Features
- Multi-technology coverage — Recipes for Angular, React, Vue.js, Node.js, Python, PHP, Ruby on Rails, and more.
- Framework-specific debugging — Step-by-step guides for debugging apps built with CLI tools like Vue CLI, Angular CLI, and Next.js.
- Testing integration — Debugging configurations for Mocha, Jest, and other testing frameworks.
- Runtime environments — Recipes for debugging Electron apps, AWS Lambda functions, and Emscripten-translated code.
- Live editing workflows — Examples for live-editing and debugging React apps directly within VS Code.
Philosophy
VS Code Recipes follows a practical, example-driven approach to help developers quickly implement debugging setups tailored to their specific technology stack, reducing trial-and-error and improving productivity.
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