GitHub Copilot Instructions for Personal Expense Tracker

Project Context

This project is a Personal Expense Tracker built using Spring Boot. It includes JPA entities, repositories, and a layered architecture to manage expenses and categories efficiently.

Code Standards

Java Version: 21
Spring Boot Version: 3.2+
Validation: Proper validation annotations for entities and DTOs
Database: H2 for development and testing

Architecture Patterns

Service Layer: Business logic resides here
Repository Layer: Data access logic using Spring Data JPA
Controller Layer: Handles HTTP requests and responses

Testing Approach

Framework: JUnit 5
Coverage: Comprehensive test coverage for services, repositories, and controllers
Tools: Spring Boot Test, MockMvc, and H2 database for integration tests

Preferred Libraries

Spring Boot Starters: For rapid development
H2 Database: Lightweight, in-memory database for development and testing

Usage Tips

Use GitHub Copilot to generate boilerplate code for entities, repositories, and services.
Leverage Copilot for writing test cases and SQL queries.
Follow the layered architecture to maintain separation of concerns.

Example Prompts

Entity Generation:

/generate Create a JPA entity for Category with fields: id, name, description, icon, color, createdAt, updatedAt

Repository Queries:

/generate Create a repository method to find expenses by category and date range

Test Cases:

/generate Write a JUnit 5 test case for the ExpenseService to validate expense creation

GitHub Copilot Instructions for Personal Expense Tracker

Project Context

This project is a Personal Expense Tracker built using Spring Boot. It includes JPA entities, repositories, and a layered architecture to manage expenses and categories efficiently.

Code Standards

Java Version: 21
Spring Boot Version: 3.2+
Validation: Proper validation annotations for entities and DTOs
Database: H2 for development and testing

Architecture Patterns

Service Layer: Business logic resides here
Repository Layer: Data access logic using Spring Data JPA
Controller Layer: Handles HTTP requests and responses

Testing Approach

Framework: JUnit 5
Coverage: Comprehensive test coverage for services, repositories, and controllers
Tools: Spring Boot Test, MockMvc, and H2 database for integration tests

Preferred Libraries

Spring Boot Starters: For rapid development
H2 Database: Lightweight, in-memory database for development and testing

Usage Tips

Use GitHub Copilot to generate boilerplate code for entities, repositories, and services.
Leverage Copilot for writing test cases and SQL queries.
Follow the layered architecture to maintain separation of concerns.

Example Prompts

Entity Generation:

/generate Create a JPA entity for Category with fields: id, name, description, icon, color, createdAt, updatedAt

Repository Queries:

/generate Create a repository method to find expenses by category and date range

Test Cases:

/generate Write a JUnit 5 test case for the ExpenseService to validate expense creation

GitHub Copilot Instructions for Personal Expense Tracker

GitHub Copilot Instructions for Personal Expense Tracker

Project Context

Code Standards

Architecture Patterns

Testing Approach

Preferred Libraries

Usage Tips

Example Prompts

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GitHub Copilot Instructions for Personal Expense Tracker

Project Context

Code Standards

Architecture Patterns

Testing Approach

Preferred Libraries

Usage Tips

Example Prompts