software-design-philosophy

Reduce software complexity by applying depth-oriented design principles and information hiding to consolidate scattered knowledge. This guide helps teams define clearer module boundaries, hiding implementation details behind a unified interface to minimize dependencies.

Deep modules hide significant implementation complexity behind a simple interface, whereas shallow modules expose a large surface area relative to their functionality. This framework clarifies when to use deep vs shallow modules to strategically reduce dependencies.

Apply information hiding during a refactor by analyzing the public surface area, identifying scattered knowledge, and drafting a single unified interface. This reduces exposed implementation details and decreases external dependencies across your architecture.

Use strategic programming instead of tactical programming when software design succumbs to creeping complexity. This approach prioritizes long-term architectural investment, guiding refactors toward deeper abstractions and better boundary definition.

Define module boundaries by analyzing the current public surface area and consolidating scattered knowledge into a single module. This pragmatic framework provides diagnostics and examples to practice strategic programming for better information hiding.

Yes, this guide reduces technical debt by addressing creeping complexity through deep modular thinking and information hiding. It provides a pragmatic framework with diagnostics and examples to practice strategic programming during refactors.