Learning Path
Engineering with AI
AI writes the code now — so the human edge is the judgment to evaluate, integrate, and take responsibility for what it produces. AI can emit plausible code, but it won't tell you why a design is sound or where it will break. This path is the entry point for engineers who build with AI (persona B). Start by grasping why a map matters in the age of AI, then build the eye to judge design, the discipline to verify output, the craft to grow code safely, and the responsibility of a professional — each backed by cited dependencies. The step-by-step route itself is carried by its sibling path, "Foundations AI Skips."
- Required Books
- 5 books
- Recommended Books
- 3 books
- Target Domains
- Software Design
- Milestones
- 5 stages
Milestones
5 stagesなぜ: AIと組む時代に地図が要る理由
AIツールの効果と限界を見極め、人間が担うべき判断を理解する
判断: 良い設計を見抜く目
AIの出力が良い設計かを評価できる、複雑性と判断の基準を持つ
検証: AIの出力を保証する
生成されたコードの振る舞いをテストで裏取りし、信頼できる状態にする
改善: 動くコードを安全に育てる
AI生成・既存を問わず、壊さずに構造を改善する作法を身につける
責任: AI時代のプロとしての姿勢
AIに委ねても最終責任は人間にある——倫理と達人の規律を持つ