promptdriven/pdd

• highreadme#1

  Reposition the README introduction to clarify PDD's role as a meta-programming system

  原因：

  当前

  PDD (Prompt-Driven Development) is a prompt-native programming system. `.prompt` files are the human-authored source language; Python, TypeScript, Go, and other traditional languages are generated artifacts.

  复制粘贴的修复

  复制

  PDD (Prompt-Driven Development) is a **prompt-native meta-programming system** where `.prompt` files are the human-authored source language, compiling into traditional languages like Python, TypeScript, and Go. It provides a structured framework for **AI-driven development where prompts define the source code**, enabling the generation of durable, reviewable code artifacts across multiple languages.

  待办完成忽略
• mediumtopics#2

  Add more specific topics to emphasize meta-programming and AI-driven code generation

  原因：

  当前

  ai, cli, code, developer-tools, development, methodology, prompt, prompt-engineering, prompt-toolkit, prompts, prompts-template

  复制粘贴的修复

  复制

  ai, cli, code, developer-tools, development, methodology, prompt, prompt-engineering, prompt-toolkit, prompts, prompts-template, ai-code-generation, meta-programming, prompt-as-source, ai-development-framework, language-agnostic-code-generation

  待办完成忽略
• lowreadme#3

  Add a sentence to the README explicitly differentiating PDD from common AI tools

  原因：

  复制粘贴的修复

  复制

  Unlike direct AI chat interactions, generic AI APIs (e.g., OpenAI API, Vertex AI), or typical AI code assistants (e.g., GitHub Copilot, Tabnine), PDD provides a structured methodology and framework for treating AI prompts as first-class citizens in the software development lifecycle. This ensures prompts are durable, testable, and version-controlled source code, not just ephemeral inputs.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to generate code artifacts for multiple languages from high-level prompt descriptions?

  你：未被推荐
  AI 推荐顺序：

  1. OpenAI API
  2. Google Cloud Vertex AI
  3. Hugging Face Transformers (huggingface/transformers)
  4. GitHub Copilot
  5. AWS CodeWhisperer
  6. Tabnine
  7. ANTLR (antlr/antlr4)
  8. Xtext (eclipse/xtext)
  9. T4 Text Templates

  AI 推荐了 9 个替代方案，却始终没点名 promptdriven/pdd。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools enable AI-driven development where prompts define the source code?

  你：未被推荐
  AI 推荐顺序：

  1. GitHub Copilot X
  2. Cursor
  3. Codeium
  4. Tabnine
  5. Replit AI
  6. OpenAI API

  AI 推荐了 6 个替代方案，却始终没点名 promptdriven/pdd。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of promptdriven/pdd?

  pass
  ✓AI 明确点名了 promptdriven/pdd

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts promptdriven/pdd in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 promptdriven/pdd

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo promptdriven/pdd solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 promptdriven/pdd

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？