AI assistants like ChatGPT and Bind AI Copilot have changed how software development works. All you need now is to know how to write correct prompts, and once you learn that, virtually anything is possible. With one right prompt, you can create simple games, web applications, custom bots, and more.
But here’s the thing: prompting isn’t as easy as it sounds. One mistake, and you’ll end up in a loop of revisions and changes. So, to help you get started, we have a list of the 15 best AI prompts for software development. Everything, from the language to the framework, has been specified, so all you need to do is to put your data in and try it out!
1. Generate a REST API with Python’s FastAPI
Prompt: “Create a REST API for a [specific service, e.g., user management service] using Python’s FastAPI framework. The API should include endpoints for [CRUD operations: create, read, update, delete users], with validation and error handling. Generate all necessary code files for deployment on a server, including a main application file, endpoint controllers, data models, and configuration settings. Suggest a suitable database (e.g., PostgreSQL or SQLite) and include a database connection setup. Ensure the output is ready for deployment with clear comments explaining key sections.”
2. Build a Next.js Front-End Application Based on Requirements
Prompt: “Build a responsive Next.js front-end application based on the following requirements: [brief description, e.g., a dashboard for tracking sales metrics]. Analyze the description and create a project structure with pages, reusable components, and a global stylesheet. Set up routing and navigation, integrate any necessary state management (e.g., Context API or Redux), and implement data fetching with API calls. Optimize performance using Next.js features (e.g., SSR or SSG), ensure accessibility compliance, and include comments explaining file structures and key choices. Provide a README with setup instructions and notes about the architecture.”
3. Develop a Microservice Using Node.js and Express
Prompt: “Develop a Node.js microservice with Express for [a specific service, e.g., order processing in an e-commerce application]. Implement endpoints for creating, updating, and deleting orders, and set up the project with environment variables for secure configuration. Use a database such as MongoDB or PostgreSQL, with a clear setup and connection code. Include comments for deployment on a cloud platform (e.g., AWS Lambda or Heroku), and generate all code files required for seamless integration with other services.”
4. Generate an Authentication System with Django and REST Framework
Prompt: “Create a secure user authentication system in Django using Django REST Framework. Implement signup, login, logout, password reset, and account verification endpoints. Ensure password hashing and token-based authentication (e.g., JWT). Generate all necessary code files, including views, serializers, models, and configuration settings, to create a standalone authentication service. Provide a deployment-ready output with comments explaining each file and instructions for integrating with a front-end or other services.”
5. Build a GraphQL API Using Apollo Server and TypeScript
Prompt: “Build a GraphQL API with Apollo Server and TypeScript for a [specific purpose, e.g., book recommendation platform]. Define schemas, resolvers, and queries for managing data (e.g., books, authors, and genres) and create a modular project structure. Set up a database connection, suggest either SQL or NoSQL based on scalability needs, and include sample queries/mutations for common operations. Generate all files needed for a production-ready service, and include comments and setup instructions for deployment on a platform like Vercel or Heroku.”
6. Create a Serverless Function for Data Processing Using AWS Lambda
Prompt: “Write a serverless function in Python for AWS Lambda that processes incoming data [e.g., image data for compression]. The function should accept data input, perform the required processing, and return results. Include setup and deployment files (e.g., requirements.txt and handler function), and ensure the output is ready for deployment on AWS with clear documentation explaining each function and setup for triggers (e.g., S3 events or API Gateway).”
7. Generate an End-to-End MERN Application
Prompt: “Develop a full MERN (MongoDB, Express, React, Node.js) stack application for [specific project, e.g., a task management tool]. Create the project structure for both the client and server, implement RESTful API endpoints, and set up state management (e.g., Redux or Context API) on the front end. Implement basic CRUD functionality with error handling and authentication. Ensure the output includes all code files and a README with setup and deployment instructions for Heroku or DigitalOcean.”
8. Create a RESTful API with Flask and SQLAlchemy
Prompt: “Build a RESTful API using Flask and SQLAlchemy for a [specific type of service, e.g., library management system]. Define routes for CRUD operations, set up data models, and handle database connections with SQLAlchemy. Implement proper error handling and validation. Output all necessary files, with comments explaining the project structure and clear instructions for deploying to a cloud server (e.g., Azure or Google Cloud).”
9. Develop a Microfrontend with Web Components
Prompt: “Create a microfrontend using Web Components and JavaScript for [a specific UI element, e.g., a user profile card]. Ensure the component is standalone and compatible with any front-end framework. Add basic styling, setup file, and an example of integration into a larger app. Include comments explaining the component structure and how to use it in different environments.”
10. Implement an Event-Driven Microservice Using Kafka and Spring Boot
Prompt: “Develop an event-driven microservice in Java using Spring Boot, with Kafka for message streaming. Implement consumers and producers for a [specific scenario, e.g., user notification system], and set up event handling for reliable processing. Generate all necessary code and configuration files, with comments explaining the Kafka integration and event structure. Provide setup instructions for deployment on a Kubernetes cluster.”
11. Generate a CI/CD Pipeline Script Using GitHub Actions
Prompt: “Create a CI/CD pipeline script using GitHub Actions to automate testing, building, and deploying a [specific application, e.g., Node.js API]. Configure the workflow to run tests, lint code, build the project and deploy to [deployment platform, e.g., AWS]. Include setup files for any required secrets or environment variables and ensure the output includes detailed comments and deployment instructions.”
12. Develop a Secure File Upload Service Using Python and FastAPI
Prompt: “Create a secure file upload service in Python using FastAPI. Set up endpoints for uploading and retrieving files, with file validation for size and type. Store files in [cloud storage or local file system, e.g., S3], and add authentication to restrict access. Include all files for deployment, with comments explaining security best practices, storage setup, and API usage examples.”
13. Build a Basic CRUD Application with Ruby on Rails
Prompt: “Develop a basic CRUD application using Ruby on Rails for [specific project, e.g., a contact management system]. Create the project structure, set up models, controllers, and views, and add routes for CRUD operations. Include database migrations, and seed data, and ensure that the application is ready for deployment on [platform, e.g., Heroku]. Provide comments throughout the code and a README with setup and configuration instructions.”
14. Generate a CLI Tool Using Go for Data Analysis
Prompt: “Create a command-line tool in Go for analyzing [specific data type, e.g., CSV files containing sales data]. Implement features to read and parse CSV files, perform statistical analysis, and output results. Structure the code to be modular, and include setup instructions and a README explaining how to use the tool with example commands.”
15. Set Up a Real-Time Chat Application with WebSockets in Node.js
Prompt: “Create a real-time chat application using Node.js and WebSocket. Set up the server to manage user connections, broadcast messages, and handle basic room functionality. Provide a simple front-end client in HTML and JavaScript, and include comments explaining the WebSocket setup. Ensure that the output includes all files needed for local and server deployment, with instructions for configuring the server and scaling for multiple users.”
How to Use These Prompts
- Test and customize: Modify these base prompts based on your specific needs by adding or removing relevant details.
- Iteration: Iterate the prompts with various inputs and refine them based on the outputs received.
- Combination: You can combine elements from different prompts to create more unique agents.
- Extension: Add specific examples, use cases, or constraints to make the prompts more focused. Bind AI also allows you to add a knowledge base via GitHub and Google Drive.
Try these prompts today with Bind AI Copilot!