[note] How to Use GitHub Issue to Manage AI Agent's BDD + SDD + TDD Development Workflow

Note: This page is an AI-generated (gpt-5-mini-2025-08-07) translation from Traditional Chinese and may contain minor inaccuracies.

📌 Introduction

In the current AI development landscape, different methodologies are proliferating rapidly (for example coleam00/context-engineering-intro, bmad-code-org/BMAD-METHOD, automazeio/ccpm, and classmethod/tsumiki). These methodologies aim to help AI Agents plan before coding. However, they often store the large amount of planning documents directly in the project repo. Although they look detailed, these documents become a burden when requirements keep changing. When requirements change, it’s hard to verify whether the AI Agent has correctly read and updated the relevant documents, and difficult to audit and track changes, especially in collaborative environments or when maintaining legacy projects.