Why we avoid overengineering

Every team has seen the slide deck that promises a platform for every product line, a plugin system before the first customer, or a data layer that anticipates five years of hypothetical scale. Those designs are seductive because they feel professional—but they are expensive to build, hard to change, and often never get used the way the diagram imagined.

We prefer to ship something small that works in production, observe real bottlenecks, and add abstraction when the pain is measurable: repeated bugs, slow delivery, or operational load. That does not mean “no architecture”—it means architecture that earns its place.

Practical signs you might be overengineering: more layers than the team can explain in one sentence, frameworks chosen for résumés instead of constraints, or “flexibility” that nobody has asked for yet. When in doubt, we document the decision, keep seams clear, and refactor when the domain stabilizes—not before.