
4geeksacademy/ai-eng-financial-dashboard-context-project
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Practice rules and context generation starting from a previous existing project
개요
By @marcogonzalo and other contributors at 4Geeks Academy Estas instrucciones están disponibles en español. : 📗 Read the instructions on how to start a coding project. Financial metrics dashboard with a React + TypeScript frontend and a FastAPI backend. 1. Fork this repository to your account. 2. Open your fork in GitHub Codespaces or clone it and run it in your local environment. 3. Run your AI agent to inspect both frontend and backend. 4. Document the proposed rules and memory bank in your fork. 5. Refine and validate the rules until they fit the project's real workflow. The frontend uses the Vite proxy for /api by default, so no extra environment variables are required in local development or Codespaces. If you need to target a different backend origin, copy frontend/.env.example to .env and set VITE_API_BASE_URL.
README
Financial Metrics Dashboard
By @marcogonzalo and other contributors at 4Geeks Academy
Estas instrucciones están disponibles en español.
Before you start: 📗 Read the instructions on how to start a coding project.
Financial metrics dashboard with a React + TypeScript frontend and a FastAPI backend.
Recommended steps
- Fork this repository to your account.
- Open your fork in GitHub Codespaces or clone it and run it in your local environment.
- Run your AI agent to inspect both frontend and backend.
- Document the proposed rules and memory bank in your fork.
- Refine and validate the rules until they fit the project’s real workflow.
Expected agents directory structure
./.agents
└─ /rules
└─ .md
└─ /skills
└─ /
└─ /SKILL.md
How to run locally
docker compose up --build
The frontend uses the Vite proxy for /api by default, so no extra environment variables are required in local development or Codespaces.
If you need to target a different backend origin, copy frontend/.env.example to .env and set VITE_API_BASE_URL.
- Frontend: http://localhost:5173
- Backend: http://localhost:8000
- API documentation: http://localhost:8000/docs
This and many other projects are built by students as part of the Career Programs at 4Geeks Academy. By @marcogonzalo and other contributors. Find out more about AI Engineering, Data Science & Machine Learning, Cybersecurity and Full-Stack Software Developer with AI.
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설치
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