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Engineering policies for AI coding agents from classic software canon

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

This is a binding engineering policy prompt for AI coding agents, derived from classic software engineering texts: Clean Code / Clean Architecture (Robert C. Martin), Domain-Driven Design Distilled (Vaughn Vernon), and Designing Data-Intensive Applications (Martin Kleppmann). It converts these principles into a set of rules that AI agents must follow when generating, editing, or reviewing code. The prompt emphasizes local reasoning, precise naming, inward dependencies, bounded contexts, explicit domain language, data ownership, consistency, and durability contracts. It uses MUST, SHOULD, and MUST NOT to indicate binding rules. Originally posted in the ai-boost/awesome-prompts GitHub repository.

Key Features

local reasoning and precise naming
inward dependencies and replaceable details
bounded contexts and explicit domain language
explicit data ownership, consistency, and durability contracts
rules for clean code readability
separation of commands from queries
happy-path readability with isolated error handling
tests treated as production code

Pros & Cons

Pros
  • Promotes highly readable and maintainable code
  • Enforces strong architectural boundaries
  • Reduces technical debt through consistent rules
  • Improves collaboration between human developers and AI agents
  • Based on proven software engineering literature
Cons
  • May be overly strict for small or rapid prototyping projects
  • Requires discipline to follow all binding rules
  • Not a replacement for human code review or domain knowledge

Best For

guiding AI coding agents to follow software engineering best practicesenforcing Clean Code and Clean Architecture principles in AI-generated codeapplying Domain-Driven Design concepts via AIimproving code quality and maintainability in AI-assisted development

FAQ

What is the purpose of this prompt?
It provides a set of binding engineering policies for AI coding agents to ensure generated code adheres to classic software engineering principles like Clean Code, Clean Architecture, Domain-Driven Design, and data-intensive system design.
Who is this prompt for?
It is designed for developers using AI coding agents (like GitHub Copilot, ChatGPT, etc.) who want the AI to produce code that is readable, maintainable, and architecturally sound.
How should I use this prompt?
Include the file as a system prompt or instruction for your AI agent so that all code generation, edits, and reviews follow the specified rules. The file uses MUST, SHOULD, and MUST NOT to indicate binding requirements.