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.