AI-Era Development Workflow

日本語版

AI-Era Development Workflow

AI is fundamentally transforming how software is built. This skill covers development methodologies for the AI era — from AI coding assistance, AI pair programming, and AI-driven testing to AI code review and prompt-driven development.

Target Audience

• Engineers integrating AI tools into their development workflow
• Those seeking to maximize development productivity
• Developers building engineering skills for the AI era

Prerequisites

• Hands-on software development experience
• Basic knowledge of Git and CI
• Foundational understanding of LLMs

Learning Guide

00-fundamentals — AI Development Fundamentals

01-ai-coding — AI Coding

02-workflow — AI Workflow

03-team — AI Team Development

Quick Reference

Recommended AI Development Tool Stack:
  Coding:        Claude Code + GitHub Copilot
  IDE:           Cursor or VS Code + extensions
  Testing:       AI test generation + Vitest
  Review:        AI review + human review
  Documentation: AI-generated + human review
  Debugging:     AI analysis + traditional debugger

Principles for Productivity Gains:
  - Always review AI output — never blindly accept it
  - Provide sufficient context
  - Break tasks into small, focused units
  - Ensure quality through testing

References

1. GitHub. "Copilot Documentation." docs.github.com/​copilot, 2024.
2. Anthropic. "Claude Code." claude.ai/​claude-code, 2024.
3. Cursor. "Documentation." cursor.com/​docs, 2024.