fatemenajafi135/The-AI-Engineer-Challenge
Building your first LLM application with OpenAI, and AI-assisted Development, step-by-step!
SUMMARY AI summary by gpt-5-mini
This repository is a hands-on challenge to build a small LLM-powered application with a “vibe-coded” frontend. It’s aimed at novice AI engineers and developers who want a guided, practical introduction to LLM app development and deployment. Key features: - Step-by-step dev setup (docs/GIT_SETUP.md) and a Colab notebook for experimenting with gpt-4.1-mini. - Backend starter using FastAPI (see api/index.py and api/README.md). Uses the uv package manager to provision Python 3.12 and run uvicorn. - Frontend vibe-coding workflow using Cursor, including theming via .cursor/rules and indexed docs to improve assistant responses. - Deployment guide for Vercel and a built-in “vibe check” test plan to validate model capabilities. - Instructions for GitHub fork/clone, OpenAI API key configuration, and iterative development/debugging with Cursor.
AI Coding Tools Used
This repository contains config files from these AI coding tools, indicating AI-assisted development.
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Language breakdown (by bytes)
Owner
Data scientist | NLP enthusiast
Dates
| Created on GitHub | 2026-05-13 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-16 |
| Last fetched | 2026-05-16 18:11 |
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