For a MERN stack project, follow these best practices: Project Structure:- Organize by feature or layer. Common directories include `client` (React), `server` (Express), `models`, `routes`, `controllers`, and `config`. Dependencies Management:- Use separate `package.json` files for client and serverRead more
For a MERN stack project, follow these best practices:
Project Structure:- Organize by feature or layer. Common directories include `client` (React), `server` (Express), `models`, `routes`, `controllers`, and `config`.
Dependencies Management:- Use separate `package.json` files for client and server. Use npm scripts to manage tasks efficiently, like `concurrently` to run client and server simultaneously.
Code Quality: – Use ESLint and Prettier for consistent code formatting. Enforce coding standards through linting.
Environment Variables:- Store environment variables in `.env` files and use packages like `dotenv` to load them. Ensure `.env` files are listed in `.gitignore` to avoid committing sensitive information.
Robust Development Environment:- Use Docker to create consistent development environments. Set up development and production configurations to streamline the deployment process.
Version Control:- Use Git for version control. Follow a branching strategy like Git Flow to manage features, releases, and hotfixes.
Testing:- Write unit tests for both front-end and back-end. Use Jest and React Testing Library for React, and Mocha or Jest for Express.
Documentation:- Maintain comprehensive documentation, including API documentation using tools like Swagger or Postman.
These practices will help maintain a clean, efficient, and scalable MERN stack project.
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AI is used widely across various industries. The most common AI skills an Indian IT workforce has are: Programming skills like Python or R Machine Learning Computer Vision Deep Learning NLP Data Engineering AI integration and deployment Robotic process automation. Also, professionals have specializeRead more
AI is used widely across various industries. The most common AI skills an Indian IT workforce has are:
Programming skills like Python or R
Machine Learning
Computer Vision
Deep Learning
NLP
Data Engineering
AI integration and deployment
Robotic process automation.
Also, professionals have specialized skills in the fields of healthcare, manufacturing, marketing, retail, technology, and more.
Moreover, Generative AI skills have become more vital worldwide, not only in the Indian IT workforce. So, to be a part of the Indian IT workforce one must have Gen-AI skills. As AI technology advances, generative AI is becoming more popular.
So, to be a part of the future AI Indian IT workforce also moving towards these skills. An example of Gen-AI involves creating new content, designs, and solutions through models like GPT-4.
Furthermore, AI is a broader field of technology, so one should consider learning the mentioned skills in an Indian IT workforce.
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