prompt
FreeBinding engineering policy for AI coding agents based on The Pragmatic Programmer
FreeFree tier
About prompt
This is a binding engineering policy for AI coding agents, converted from the principles of Andrew Hunt and David Thomas's book 'The Pragmatic Programmer'. It provides a set of rules (MUST, SHOULD, MUST NOT) that guide agents to work pragmatically, take responsibility for code quality, automate repetitive tasks, reduce knowledge duplication (DRY), maintain orthogonality, and favor adaptability. The prompt aims to make AI-generated code easy to change, reason about, and observe, while avoiding dogmatic rituals.
Key Features
Primary directive to be pragmatic, not dogmatic
Core principle: Own the Result (take responsibility for quality)
Core principle: Think Beyond the Local Edit (consider future maintainability)
Core principle: Favor Adaptability (build easy-to-change systems)
DRY rules at the knowledge level (do not duplicate knowledge)
Orthogonality: keep concerns independent
Incremental delivery and ruthless feedback
Automation of repetitive work
Code that is easy to observe, test, and change
Explicit surface of trade-offs, risks, and uncertainty
Pros & Cons
Pros
- Promotes high-quality, maintainable, and changeable code
- Encourages automation and efficiency in repetitive tasks
- Based on proven, widely respected software engineering principles
- Reduces knowledge duplication, lowering long-term costs
- Explicit rules (MUST/SHOULD) make policies clear and enforceable
Cons
- May be overly prescriptive for some development teams or projects
- Requires careful adaptation to fit specific programming contexts and tooling
- Focus on pragmatism can conflict with organizational conventions if applied rigidly
- Effectiveness depends on the AI agent's ability to interpret nuanced rules
Best For
Guiding AI coding agents to follow pragmatic programming practicesEnhancing code review processes with automated checksStandardizing engineering policies across a project or organizationTraining AI assistants to produce maintainable, adaptable codeReducing technical debt by prompting responsibility and ownership
FAQ
What is the purpose of this prompt?
It provides a binding engineering policy for AI coding agents, based on The Pragmatic Programmer, to ensure generated code is pragmatic, maintainable, and adaptable.
Who is the intended audience?
Developers and teams using AI coding agents who want to enforce software engineering best practices aligned with the pragmatic programmer philosophy.
Is this prompt tied to a specific AI tool?
No, it is a general prompt file hosted on GitHub under ai-boost/awesome-prompts and can be used with any AI coding agent that accepts text instructions.
What does 'DRY' mean in this context?
DRY stands for 'Don't Repeat Yourself' and here it means avoiding duplication of knowledge, not just code, to reduce maintenance burden.