[jammycakes]

Missing dependencies. External services having gone offline. Timeouts. Foreign key violations. Data corruption. Invalid user input. Incorrect assumptions about how a third party library works. Incorrectly configured firewalls. Bugs in your code. Subtle incompatibilities between libraries, frameworks or protocols. Botched deployments. Hacking attacks. The list is endless.

Probably not so much of an issue if you're dealing with well validated CAD data and most of your processing is in-memory using your own code. But if you're working with enterprise applications talking to each other via microservices written by different teams with different levels of competence, legacy code (sometimes spanning back decades), complex and poorly documented third party libraries and frameworks, design decisions that are more political than technical, and so on and so forth, it can quickly mount up.

[catiopatio]

External services having gone offline, timeouts, and invalid user input are expected conditions you should handle locally.

Almost everything else you listed represents a bug in your software that should terminate execution.

I’m more than a little shocked that you think yeeting exceptions up the call stack is appropriate for these cases.

[jammycakes]

> External services having gone offline, timeouts, and invalid user input are expected conditions you should handle locally.

Not necessarily. You should only handle expected conditions locally if there is a specific action that you need to take in response to them -- for example, correcting the condition that caused the error, retrying, falling back to an alternative, or cleaning up before reporting failure. Even if you do know what all the different failure modes are, you will only need to do this in a minority of cases, and those will be determined by your user stories, your acceptance criteria, your business priorities and your budgetary constraints. That is what I mean by "expected conditions." Ones that are (or that in theory could be) called out on your Jira tickets or your specification documents.

For anything else, the correct course of action is to assume that your own method is not able to fulfil its contract and to report that particular fact to its caller. Which is what "yeeting exceptions up the call stack" actually does.

> Almost everything else you listed represents a bug in your software that should terminate execution.

Well of course it represents a bug in your software, but you most certainly do not terminate execution altogether. You perform any cleanup that may be necessary, you record an event in your error log, and you show a generic error message to whoever needs to know about it, whether that be the end user or your support team.

Again, what action you need to do in these cases will depend on your user stories, your acceptance criteria, your business priorities and your budgetary constraints. But it is usually done right at the top level of your code in a single location. That is why "yeeting exceptions up the call stack" is appropriate for these cases.

You only terminate execution altogether if your process is so deeply diseased that for it to continue would cause even more damage. For example, memory corruption or failures of safety-critical systems.

> I’m more than a little shocked that you think yeeting exceptions up the call stack is appropriate for these cases.

I hope I've clarified what "yeeting exceptions up the call stack" actually does.

The alternative to "yeeting exceptions up the call stack" when you don't have any specific cleanup or corrective action that you can do is to continue execution regardless. This is almost never the correct thing to do as it means your code is running under assumptions that are incorrect. And that is a recipe for data corruption and all sorts of other nasties.