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Create a Database Schema and REST APIs with a Single Prompt Using GitHub Copilot in VS Code

  • The article explores the trend of using AI agents and prompt-based tools in software development, emphasizing the importance of staying ahead in this Evolution.
  • It highlights the necessity of databases in every application and the common challenges faced in setting up, managing schema changes, and coordinating in team projects.
  • With the advent of AI code generation tools like GitHub Copilot, automating the process of designing a database schema, running a database, and managing data is simplified.
  • The article describes a step-by-step process of utilizing GitHub Copilot with GibsonAI to create a fully designed database schema and live CRUD APIs seamlessly.
  • Users need VS Code with GitHub Copilot enabled, UV installed, and a GibsonAI account to leverage the tool for automating the database setup process.
  • The steps involve setting up GibsonAI CLI, enabling the MCP server in VS Code, describing the app schema in a prompt, deploying the schema, and enabling CRUD APIs.
  • By following the guide, developers can create a complete relational schema with foreign key constraints, ERD, and CRUD APIs without directly writing SQL queries.
  • The process saves time by automating repetitive tasks, allows for easy deployment of the database, and enhances team coordination in schema management.
  • Combining GitHub Copilot and GibsonAI offers a seamless experience for building full-featured apps from a prompt, representing a glimpse into the future of development.
  • The article encourages developers to embrace AI tools for handling tedious tasks, enabling them to focus on innovation and writing smarter prompts instead of more code.
  • Developers are urged to explore the capabilities of AI-powered tools to streamline their workflow and witness the benefits of using prompt-driven development.

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