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Building Software Is Easy. Building Systems That Match Reality Is Hard.

January 31, 2026
2 min read

One of the biggest lessons I've been learning as a software engineer is that real-world systems rarely behave like clean textbook examples.

On paper, many applications look simple:

  • Create an order
  • Update inventory
  • Process a payment

But once real users, real money, and real edge cases enter the picture, things change very quickly.

CRUD Stops Being Enough

When I started building internal tools and business platforms, I realized that most problems are not about creating records, but about managing state over time.

For example:

  • What happens when a payment is partially completed?
  • How do you reverse a transaction without breaking reports?
  • How do you ensure inventory stays accurate when orders are canceled, refunded, or modified?
  • How do you reflect discounts without inflating revenue numbers?

These are not UI problems. They are system design problems.

The Concept: Modeling Business State Explicitly

One concept that has helped me a lot is treating business processes as state machines, even if you don't formally call them that.

Instead of thinking:

"I just update this row"

You think:

"What state is this entity in, and what transitions are allowed from here?"

For example, an order might move through states like:

  • Created
  • Pending payment
  • Paid
  • Fulfilled
  • Reversed
  • Refunded

Each transition has rules, side effects, and validations.

This mindset immediately reduces bugs and makes systems easier to reason about.

Why This Matters in Production

When systems don't model business state properly:

  • Reports become unreliable
  • Refunds create negative balances
  • Inventory goes out of sync
  • Engineers fear touching "working" code

But when state and transitions are clear:

  • Bugs are easier to trace
  • New features are safer to add
  • The system scales with complexity

What I'm Still Learning

I'm still improving at:

  • Designing clearer state boundaries
  • Writing code that reflects business intent, not just database operations
  • Communicating these decisions to non-technical stakeholders

But every real system I work on reinforces the same lesson:

Good software mirrors reality, not just requirements.

Final Thought

If you're building systems that involve payments, orders, or real users, don't underestimate the importance of explicit business logic.

CRUD gets you started. State-aware design keeps you sane.

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