Some behaviors stay true no matter how the system grows, decays, or mutates. These invariants quietly define the shape of the software we build. And the mistakes we keep making.
What an invariant actually is
- correctness definition, constraints, examples
Why invariants matter more than features
- stability, evolvability, safety
Common engineering invariants we violate
- trust boundaries, data assumptions, idempotence
How to identify a real invariant vs a preference
- testing pressure points, historical behavior
Your system’s moral compass
- how invariants shape culture and habits
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