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Two features can work perfectly on their own and still fail when they meet. That collision—when one component overwrites another’s state, or nobody is sure who controls a shared resource—is where software architecture becomes visible. In a personal essay published September 20, 2026, Mika Flowers describes learning to notice those patterns by building projects and encountering the same kinds of failures repeatedly.
Architecture shows up when reasonable features collide
A feature can be correct in isolation and still make a system behave incorrectly. The deeper question is often not whether a function is readable, but which part of the system owns a piece of state or resource—and what should happen when an assumption about it stops being true.
Flowers frames the practical question this way: “What owns this, and what happens the moment the assumption underneath it breaks?” That is a boundary question. It asks who is responsible, what other components may change, and how the system behaves when events arrive in an unexpected order.
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A timer writes stale state
A timer may update a value based on what it knew when it started. If the underlying state changes before the timer fires, that delayed update can overwrite newer information. The timer may be doing exactly what it was written to do; the architectural issue is that its authority to update the state outlasts the assumption that made the update valid.
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Two processes control one resource
When separate processes each assume they control a shared resource, their individually reasonable actions can conflict. The design needs a clear owner or coordination rule. Without one, the result depends on which process acts first, and each component’s local correctness does not guarantee a coherent system.
A condition outlives its trigger
A temporary condition can persist after the event that caused it has passed. This points to an unclear lifecycle: which component clears the condition, and what guarantees that it will be cleared? If that responsibility is implicit, a short-lived event can leave behind long-lived behavior.
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Readable code is not the same as clear system behavior
Clean code helps a person understand an individual function or module. Architecture addresses how responsibilities and behavior are arranged across components, especially when they interact. A project can have readable functions and still leave unanswered questions about ownership, shared state, timing, or cleanup.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallThose questions often become difficult to see until features overlap. The useful lesson in Flowers’s account is not that every bug demands a redesign. It is that recurring failures can reveal a pattern beneath the immediate symptom: an assumption about timing, authority, or lifecycle was never made explicit.
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Let real needs earn more architecture
Flowers contrasts designing extensively before concrete needs appear with allowing a design to develop as a project exposes its requirements. Starting with a small, useful version can limit the risk of building complexity for problems that may never occur. As the project grows, recurring collisions can show where a clearer boundary or ownership rule is needed.
This is not an argument against planning. It is a way to match the amount of design to what is known: make the first version useful, notice where its assumptions fail, and add structure in response to actual needs rather than imagined scale.
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Ask the boundary question before shipping
Before a release, examine the parts of the system that share state, resources, or temporary conditions. For each one, make the owner and failure behavior explicit:
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- Ownership: Which component is allowed to change this state or resource?
- Timing: What happens if an update arrives late or out of order?
- Conflict: What happens if another component tries to act at the same time?
- Lifecycle: Who ends a temporary condition, and what happens if its trigger disappears?
These checks do not prevent every bug. They make important assumptions visible before a collision exposes them in production. Flowers’s summary is deliberately personal: “Nobody teaches you this part. You just have to break something enough times to notice the pattern underneath the breakage.”
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