Clean Code Rules for AI Code Generation

These rules guide code generation to produce maintainable, professional-quality code.

Meaningful Names

• Use intention-revealing names that explain why something exists
• Avoid disinformation and meaningless distinctions (e.g., data, info, manager)
• Use pronounceable, searchable names
• Class names: nouns (e.g., UserAccount, PaymentProcessor)
• Method names: verbs (e.g., calculateTotal, sendEmail)
• Avoid mental mapping and encodings (Hungarian notation, prefixes)

Functions

• Keep functions small (< 20 lines ideal)
• Do one thing only - Single Responsibility Principle
• One level of abstraction per function
• Limit arguments: 0-2 ideal, 3 maximum, avoid flag arguments
• No side effects - function should do what its name says
• Separate commands (change state) from queries (return info)
• Prefer exceptions over error codes

Comments

• Code should be self-explanatory - avoid comments when possible
• Good comments: legal info, warnings, TODOs, public API documentation
• Bad comments: redundant, misleading, or explaining bad code
• Never comment out code - delete it (version control preserves history)
• If you need a comment, consider refactoring the code instead

Formatting

• Keep files small and focused
• Vertical formatting: related concepts close together, blank lines separate concepts
• Horizontal formatting: limit line length (80-120 characters)
• Use consistent indentation and team style
• Group related functions together

Objects and Data Structures

• Objects: hide data behind abstractions, expose behavior through methods
• Data structures: expose data, have minimal behavior
• Law of Demeter: only talk to immediate friends, avoid a.getB().getC().doSomething()
• Don't expose internal structure through getters/setters blindly

Error Handling

• Use exceptions, not return codes or error flags
• Write try-catch-finally first when code might fail
• Provide context in exception messages
• Don't return null - return empty collections or use Optional/Maybe
• Don't pass null as arguments

Classes

• Small classes: measured by responsibilities, not lines
• Single Responsibility Principle: one reason to change
• High cohesion: class variables used by many methods
• Low coupling: minimal dependencies between classes
• Open/Closed Principle: open for extension, closed for modification

Unit Tests

• Fast, Independent, Repeatable, Self-validating, Timely (F.I.R.S.T.)
• One assert per test (or one concept)
• Test code quality equals production code quality
• Readable test names that describe what's being tested
• Arrange-Act-Assert pattern

Code Quality Principles

• DRY (Don't Repeat Yourself): No duplication
• YAGNI (You Aren't Gonna Need It): Don't build for hypothetical futures
• KISS (Keep It Simple): Avoid unnecessary complexity
• Boy Scout Rule: Leave code cleaner than you found it

Code Smells to Avoid

• Long functions or classes
• Duplicate code
• Dead code (unused variables, functions, parameters)
• Feature envy (method more interested in other class)
• Inappropriate intimacy (classes knowing too much about each other)
• Long parameter lists
• Primitive obsession (overusing primitives instead of small objects)
• Switch/case statements (consider polymorphism)
• Temporary fields (class variables only used sometimes)

Concurrency

• Keep concurrent code separate from other code
• Limit scope of synchronized/locked data
• Use thread-safe collections
• Keep synchronized sections small
• Know your execution models and primitives

System Design

• Separate construction from use (dependency injection)
• Use factories, builders for complex object creation
• Program to interfaces, not implementations
• Favor composition over inheritance
• Apply design patterns when they simplify, not to show off

Refactoring

• Refactor continuously, not in big batches
• Always have passing tests before and after
• Small steps: one change at a time
• Common refactorings: Extract Method, Rename, Move, Inline

Documentation

• Self-documenting code > comments > external docs
• Public APIs need clear documentation
• Include examples in documentation
• Keep docs close to code (ideally in code)

---

Core Philosophy: Code is read 10x more than written. Optimize for readability and maintainability, not cleverness.