fatemenajafi135/The-AI-Engineer-Challenge
Building your first LLM application with OpenAI, and AI-assisted Development, step-by-step!
SUMMARY AI要約 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.
使用AIコーディングツール
このリポジトリには以下のAIコーディングツールの設定ファイルが置かれており、開発時にAIアシスタントが利用された痕跡があります。
DETECTED 検出されたAIスタック
このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。
使用言語(バイト数比)
オーナー情報
Data scientist | NLP enthusiast
日付
| GitHub作成日 | 2026-05-13 |
| 最終Push | 2026-05-16 |
| 当サイト初検出 | 2026-05-16 |
| 最終取得 | 2026-05-16 18:11 |
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