Code Health Metrics and Refactoring Strategy
Track code health with cyclomatic complexity, coupling metrics, and technical debt; implement refactoring strategies and automate code quality gates in CI/CD.
Track code health with cyclomatic complexity, coupling metrics, and technical debt; implement refactoring strategies and automate code quality gates in CI/CD.
Favor object composition over inheritance to achieve flexibility, reduce fragility, and improve code reuse.
Master DRY principle: eliminate knowledge duplication for maintainable code, improved consistency, and reduced bugs.
Identify volatile aspects of your system and hide them behind stable interfaces to reduce coupling and change impact.
Detect and report errors immediately to prevent silent failures, data corruption, and cascading problems.
Use feature flags to decouple deployment from release and enable safer experimentation.
Build systems where components relate strongly to their purpose while remaining loosely connected to other components.
Prefer immutable data structures to reduce bugs, improve thread safety, and simplify reasoning about code.
Simplicity first: write code that humans understand before optimizing for machines.
Master the Principle of Least Knowledge to reduce coupling and improve maintainability in complex systems.
Master naming conventions that clarify code intent and improve readability across all programming contexts.
Design systems where different areas address different aspects of functionality, improving modularity and maintainability.
Avoid speculative generality: implement only features needed today, not imagined future requirements.