Cognitive load is what matters

I'm probably one of the "smart developers" with quirks. I try to build abstractions.

I'm both bothered and intrigued by the industry returning to, what I call, "pile-of-if-statements architecture". It's really easy to think it's simple, and it's really easy to think you understand, and it's really easy to close your assigned Jira tickets; so I understand why people like it.

People get assigned a task, they look around and find a few places they think are related, then add some if-statements to the pile. Then they test; if the tests fail they add a few more if-statements. Eventually they send it to QA; if QA finds a problem, another quick if-statement will solve the problem. It's released to production, and it works for a high enough percentage of cases that the failure cases don't come to your attention. There's approximately 0% chance the code is actually correct. You just add if-statements until you asymptotically approach correctness. If you accidentally leak the personal data of millions of people, you wont be held responsible, and the cognitive load is always low.

But the thing is... I'm not sure there's a better alternative.

You can create a fancy abstraction and use a fancy architecture, but I'm not sure this actually increases the odds of the code being correct.

Especially in corporate environments--you cannot build a beautiful abstraction in most corporate environments because the owners of the business logic do not treat the business logic with enough care.

"A single order ships to a single address, keep it simple, build it, oh actually, a salesman promised a big customer, so now we need to make it so a single order can ship to multiple addresses"--you've heard something like this before, haven't you?

You can't build careful bug-free abstractions in corporate environments.

So, is pile-of-if-statements the best we can do for business software?

I was recently having a conversation with some coworkers about this.

IMO a lot of (software) engineering wisdom and best practices fails in the face of business requirements and logic. In hard engineering you can push back a lot harder because it's more permanent and lives are more often on the line, but with software, it's harder to do so.

I truly believe the constraints of fast moving business and inane, non sensical requests for short term gains (to keep your product going) make it nearly impossible to do proper software engineering, and actually require these if-else nests to work properly. So much so that I think we should distinguish between software engineering and product engineering.

> a lot of (software) engineering wisdom and best practices fails in the face of business requirements

They fail on reality. A lot of those "best" practices assume, that someone understands the problem and knows what needs to be built. But that's never true. Building software is always an evolutionary process, it needs to change until it's right.

Try to build an side project, that doesn't accept any external requirements, just your ideas. You will see that even your own ideas and requirements shift over time, a year (or two) later your original assumptions won't be correct anymore.

You can still design for evolution and follow best practices. That's actually IMO a hallmark of good software design.

The issue is when the evolution is random and rife with special cases and rules that cannot be generalized... the unknown unknowns of reality, as you say.

Then, you just gotta patch with if elses.

> The issue is when the evolution is random and rife with special cases and rules that cannot be generalized

You’ve just described the universe. It’s full of randomness.