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 believe you can build great abstractions in this kind of software, but if you want them to survive you gotta keep them any of that away from anything involving the business logic itself. You can only do this on product-like things: authn/authz, audit logs, abstractions over the database (CQRS, event sourcing), content/translation management, messaging infrastructure, real infrastructure. As soon as you allow anything from the business itself to affect or dictate those abstractions, you get shit again.

You're right that the business logic is gonna be messy, and that's because nobody really cares, and they can offload the responsibility to developers, or anyone punching it in.

On the other hand, separating "good code" and "bad code" can have horrible outcomes too.

One "solution" I saw in a fintech I worked at, was putting the logic in the hands of business people itself, in the form of a decision engine.

Basically it forced the business itself to maintain its own ball of mud. It was impossible to test, impossible to understand and even impossible simulate. Eventually software operators were hired, basically junior-level developers using a graphical interface for writing the code.

It was rewritten a couple times, always with the same outcome of everything getting messy after two or three years.