y9dssb2b77-maker
19
0
89% credibility
Found May 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Enajenarte AA2 is a backend system for a company focused on emotional health through events and workshops. It allows you to manage events, speakers who lead workshops, the workshops themselves, registered users, and sign-ups. The system includes two versions of workshop endpoints: the original version and an improved version that better adapts information for clients and prevents problems like duplicate workshops or accidental deletion of workshops with active sign-ups. The project is designed for learning and includes tools to run tests automatically, deploy to the cloud, and manage access through a gateway that applies security rules.

How It Works

1
๐Ÿ“š You discover the project

You learn about Enajenarte, a company that helps people through events and workshops, and their new API that manages everything.

2
๐Ÿ—„๏ธ You connect your database

You set up a database to store information about events, speakers, workshops, and registered users.

3
๐Ÿš€ You launch the API on your computer

With one command, your API comes to life and starts listening for requests at your local address.

4
๐Ÿงช You run automated tests

The system automatically checks that creating, updating, and deleting workshops works correctly without errors.

5
You choose how to share your work
๐Ÿ’ป
Keep testing locally

Continue developing and testing on your own computer before sharing with others.

โ˜๏ธ
Deploy to the cloud

Your API goes live on the internet so anyone can access it from anywhere.

6
๐Ÿ”’ You add security controls

You set up a gateway that limits how many requests each person can make and protects your API.

๐ŸŽ‰ Your API is live and working

Everything runs smoothly: your data is organized, tests pass, and people can safely interact with your Enajenarte platform.

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AI-Generated Review

What is enajenarteAA2?

enajenarteAA2 is a Java REST API built with Spring Boot for managing an emotional health company that organizes events and workshops. It handles five core entities: events, speakers, workshops, users, and registrations. The API exposes standard CRUD endpoints for each, with the workshop entity demonstrating API versioning -- the original endpoints remain at `/workshops` while a v2 version adds client-optimized responses with speaker names and capacity data, duplicate detection, and conflict handling for workshop deletion when registrations exist. The project includes Docker containerization, environment-separated configurations for local development versus production, and automated integration tests running through GitHub Actions on every pull request.

Why is it gaining traction?

The standout feature here is the API versioning approach using workshops as a practical example rather than a contrived demo. Each version demonstrates real business logic: v2 transforms internal speaker IDs into readable names, exposes capacity limits for client display, and prevents accidentally deleting workshops that have active registrations by returning 409 conflicts. Beyond versioning, the project shows production-ready practices including environment-specific database connections through Docker Compose, GitHub Actions pipelines that spin up containers, run Newman test collections, and tear down automatically, and AWS EC2 deployment documentation that walks through Security Group configuration and public IP access. The 144 unit tests combined with Newman integration tests provide confidence in changes before merging.

Who should use this?

This is primarily an academic exercise for students working on data access coursework. Java developers learning Spring Boot would benefit from examining the layered architecture separating controllers, services, and repositories. Teams evaluating API versioning strategies could reference how the workshop version demonstrates versioning conventions with proper conflict responses and backwards compatibility. Anyone building similar health-focused event platforms would find the domain model with speakers, workshops, and user registrations a reasonable starting structure to extend.

Verdict

With only 19 stars and an academic focus, this project shows solid engineering practices but represents course work rather than production-ready software. The ~0.9% credibility score reflects its early stage -- the extensive documentation and test coverage demonstrate capability, but I would want to see active maintenance and production adoption before recommending it for critical systems.

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