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meng shao(@shao__meng)

AI 驱动开发的七阶段 1. Grill 2. Research 3. Prototype 4. PRD 5. Issues 6. Implement 7. Review 来自 Skills For...

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AI 驱动开发的七阶段
1. Grill
2. Research
3. Prototype
4. PRD
5. Issues
6. Implement
7. Review

来自 Skills For...

TL;DR · AI Summary

AI驱动开发的七阶段模型为软件开发流程提供了结构化框架,涵盖从问题对齐到代码审查的全过程。

Key Takeaways

  • Grill阶段将模糊想法转化为共享理解,产出问题陈述和对齐文档。
  • Prototype阶段使用可丢弃原型验证设计,减少开发风险。
  • Review阶段通过人工QA发现问题并回环,确保代码质量。

Outline

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  1. 介绍AI驱动开发的七阶段模型,强调其对软件开发流程的结构化作用。

  2. 将模糊想法转化为共享理解,产出问题陈述和对齐文档。

  3. 使用可丢弃原型验证设计/UX,降低开发风险。

  4. 描述终点而非路径,产出需求文档。

  5. 拆分任务为可并行执行的垂直切片,产出带依赖的工单DAG。

  6. Agent执行开发任务,产出可运行代码。

  7. 通过人工QA发现问题并回环,确保代码质量。

Mindmap

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查看大纲文本(无障碍 / 无 JS 友好)
  • AI驱动开发的七阶段
    • Grill
      • 问题陈述
      • 对齐文档
    • Prototype
      • 可丢弃原型
      • 验证设计
    • Review
      • 人工QA
      • 发现问题

Highlights

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#AI开发#软件工程#开发流程
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meng shao on X: "Seven Phases of AI-Driven Development 1. Grill 2. Research 3. Prototype 4. PRD 5. Issues 6. Implement 7. Review From Skills For Real Engineers by @mattpocockuk https://t.co/U8eABywlTP 7 phases: Purpose | Output 1. Grill: Turn fuzzy ideas into shared understanding | Problem statement + alignment 2. https://t.co/77Etprls9r" / X

meng shao

@shao__meng

Seven phases of AI-driven development 1. Grill 2. Research 3. Prototype 4. PRD 5. Issues 6. Implement 7. Review From Skills For Real Engineers author

@

mattpocockuk

github.com/mattpocock/ski…

7 phases: Purpose | Output 1. Grill: Turn fuzzy ideas into shared understanding | Problem statement + alignment 2.

research.md 3. Prototype: Validate design/UX with playable code | Disposable prototype 4. PRD: Describe the destination, not the path | Requirements document 5. Issues: Break into vertically sliced, parallelizable tasks | DAG of tickets with dependencies 6. Implement: Agent execution (TDD, Ralph, etc.) | Runnable code 7. Review: Manual QA, loop back if issues are found | QA plan + new tickets /grill-with-docs: This is an upgraded version of /grill-me, designed specifically for scenarios with a codebase Additional capabilities: 1. Domain language (CONTEXT.md) Ubiquitous language from DDD. CONTEXT.md is just a glossary, not a spec, not implementation notes. Example: "materialization cascade" is more token-efficient, searchable, and naming consistent than "lesson being real-ized in the filesystem with placeholders." 2. ADR (docs/adr/) Write only when all three conditions are met: irreversible, surprising without context, and real trade-off exists. 3. Four types of actions in a session · Challenge terminology against glossary · Stress-test boundaries with concrete scenarios · Identify contradictions against code · Make decisions immediately in CONTEXT, not batch them Division of labor between /grill-with-docs and /grill-me: With a codebase → /grill-with-docs; Without a codebase (writing obituaries, pure product ideation) → /grill-me.

Matt Pocock

@mattpocockuk

20h

Here are my 7 phases of AI-powered development. I've been thinking that the pre-PRD phase needs more structure. You need to figure out the shape of the design tree first, before then walking down it with higher-fidelity prototypes. In other words, /grill-with-docs needs to

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12:24 AM · Jun 16, 2026

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