github / github/spec-kit

[Feature]: An innovative approach to develop microservices by spec-driven development

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主要言語
Python
スター
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平均マージ
2日 12時間
マージ済み PR(30日)
159

説明

### Problem Statement

Dear Copilot Team,

I hope this message finds you well.

I would like to briefly introduce an AI-assisted, documentation-driven software development methodology that I have designed and validated through a real-world microservice application.

The method enables structured, scalable development of large systems by combining human-defined use cases with AI-driven implementation. It addresses common limitations of large-scale AI-assisted coding—such as architectural drift, duplication, and context fragmentation—through controlled documentation and incremental expansion.

Using this approach, I built a sample event-driven microservice application with full back-end and front-end validation and bilingual support.

You can find an explanation of the methodology, along with access to the sample application and repositories in attached introduction PDF here.

[Approach Introduction.pdf](https://github.com/user-attachments/files/28539201/Approach.Introduction.pdf)

If the approach aligns with your current or future development initiatives, I would be glad to explore potential collaboration opportunities.

Best regards,
Mojtaba Kargaran

### Proposed Solution

Described in attached pdf above.

### Alternatives Considered

_No response_

### Component

Specify CLI (initialization, commands)

### AI Agent (if applicable)

None

### Use Cases

_No response_

### Acceptance Criteria

_No response_

### Additional Context

_No response_

コントリビューションガイド

コントリビューションガイドを開く

調査の方向性

Start by reading the attached Approach Introduction.pdf and then inspect the repository's CLI initialization and command entry points. The issue provides no concrete use case, files, or acceptance criteria, so define a scoped change and measurable completion criteria before implementation can begin.

索引モデルが issue の本文から書いたものです。

評価

技術スタック
python
領域
ai, cli, developer-experience
issue の種類
機能追加
難易度
5/5
見積もり時間
1週間以上
活発さ
活発
明瞭さ
説明が足りない
初心者へのやさしさ
18/100

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