Verify Exercise Configuration - GitHub Copilot Coding Agent Setup Complete

[Copilot]

Overview

This PR verifies that all requirements for the "Expand your team with GitHub Copilot Coding Agent" exercise have been properly configured and validated. The repository is now fully prepared for the GitHub Copilot Coding Agent to handle future development tasks.

Verification Summary

Configuration Files ✅

Both required configuration files are properly set up with checkboxes marked to confirm understanding:

.github/copilot-instructions.md

• Contains comprehensive project guidelines including Clean Architecture patterns, entity validation, repository implementation patterns, and use case guidelines
• Includes essential commands for Maven, MongoDB setup, and Spring Boot configuration
• Documents security implementation details (Argon2 password encoding, CORS configuration)
• Provides testing patterns and database migration information

.github/workflows/copilot-setup-steps.yml

• Configures automated environment setup with Java 21 (Temurin), MongoDB 7.0, and Maven
• Includes dependency caching and resolution for faster builds
• Sets up Spring Boot development profile and validates environment before Copilot agent starts
• Uses continue-on-error: true for non-critical steps to ensure reliability

Build & Test Validation ✅

The Spring Boot application successfully compiles and passes all tests:

[INFO] BUILD SUCCESS
[INFO] Compiling 28 source files
Tests run: 10, Failures: 0, Errors: 0, Skipped: 0

Test coverage includes:

• StudentRegistrationUseCaseTest - 4 tests validating teacher authentication and student registration flows
• ActivityTest - 6 tests validating domain entity behavior and validation

Environment Verification ✅

All required tools and services are properly configured:

• Java 21.0.8 (Eclipse Adoptium/Temurin)
• Maven 3.9.11
• MongoDB 7.0 running on port 27017
• All Maven dependencies resolved successfully

Exercise Completion Status

According to issue #1, all 4 steps of the exercise have been completed:

1. Step 1: Enabled Copilot coding agent and assigned first issue ✅
2. Step 2: Collaborated with Copilot through PR reviews and feedback ✅
3. Step 3: Configured environment files (verified in this PR) ✅
4. Step 4: Practiced with multiple issues simultaneously ✅

Impact

The repository is now production-ready for the GitHub Copilot Coding Agent:

• Performance: Pre-configured environment reduces setup time for each Copilot session
• Consistency: Standardized environment prevents configuration drift
• Context: Comprehensive instructions help Copilot make informed architectural decisions
• Quality: Automated testing ensures changes meet project standards

Fixes #1

Original prompt

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This section details on the original issue you should resolve

<issue_title>Exercise: Expanda sua equipe com o agente de codificação Copilot</issue_title>
<issue_description>## Expanda sua equipe com o agente de codificação Copilot

👋 Hey there @ChesereF! Welcome to your Skills exercise!

Neste exercício, você desbloqueará o próximo nível do seu assistente de codificação com IA favorito. Vamos aprender como atribuir tarefas de codificação do Copilot diretamente no GitHub! 💻✨

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✨ This is an interactive, hands-on GitHub Skills exercise!

As you complete each step, I’ll leave updates in the comments:

• ✅ Check your work and guide you forward
• 💡 Share helpful tips and resources
• 🚀 Celebrate your progress and completion

Let’s get started - good luck and have fun!

_{— Mona}
</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #1

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💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.