What is Software Entropy?
Software Entropy is the tendency of software systems to become increasingly disordered, complex, and difficult to maintain over time — even without any code changes.
Software Entropy is the tendency of software systems to become increasingly disordered, complex, and difficult to maintain over time — even without any code changes. It is the second law of thermodynamics applied to software: all systems tend toward disorder.
Drivers of software entropy: - Dependency aging: Libraries, frameworks, and APIs evolve independently - Environmental drift: Infrastructure, OS, and runtime changes - Knowledge loss: Original developers leave, institutional knowledge decays - Requirement evolution: Business needs change but architecture doesn't - Patch accumulation: Quick fixes compound into structural degradation
In AI systems, software entropy accelerates because models drift, training data goes stale, and the real world changes — all without anyone touching a line of code.
Why It Matters
Software entropy means your technical debt increases even when your team ships nothing. Every day you don't invest in maintenance, the system degrades. This is why "freeze the codebase" never works.
Frequently Asked Questions
Can you stop software entropy?
You can slow it — through continuous maintenance, dependency updates, documentation, and knowledge transfer — but you cannot stop it entirely. Entropy is inherent to complex systems.
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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
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