Coding Blocks

After 112 episodes, Michael can’t introduce the show, Allen pronounces it “ma-meee”, and don’t make Joe run your janky tests as The Pragmatic Programmer teaches us how we should use exceptions and program deliberately.

How are you reading this? If you answered via your podcast player, you can find this episode’s full show notes and join the conversation at https://www.codingblocks.net/episode113.

 

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Intentional Code When to use Exceptions

In an earlier chapter, Dead Programs Tell No Lies, the book recommends:

Checking for every possible error.

Favor crashing your program over running into an inconsistent state.

This can get really ugly! Especially if you believe in the “one return at the bottom” methodology for your methods.

You can accomplish the same thing by just catching an exception for a block of code, and throwing your own with additional information.

This is nice, but it brings up the question? When should you return a failed status, and when should you throw an exception?

Do you tend to throw more exceptions in one layer more than another, such as throwing more in your C# layer than your JS layer?

The authors advise throwing exceptions for unexpected events.

Ask yourself, will the code still work if I remove the exception handlers? If you answered “no”, then maybe your throwing exceptions for non-exceptional circumstances.

Tip 34

Use exceptions for exceptional problems

Exceptions vs Error Handling

Should you throw an exception if you try to open a file, and it doesn’t exist?

If it should be there, i.e. a config, yes, throw the exception.

If it might be OK for it not to be there, i.e. you’re polling for a file to be created, then no, you should handle the error condition.

Is it dangerous to rely on implicit exception throwing, i.e. opening a file that isn’t there?

On the one hand, it’s cleaner without checking for the exceptions, but there’s no signaling to your co-coders that you did this intentionally.

Exceptions are a kind of coupling because they break the normal input/output contract.

Some languages / frameworks allow you to register error handlers that are outside the flow of the normal problem.

This is great for certain types of problems, like serialization problems, particularly when there is a prescribed flow, such as error pages, serialization, or SSL errors.

Programming by Coincidence

What does it mean to “program by coincidence”?

Getting lured into a false sense of security and then getting hit by what you were trying to avoid.

Avoid programming by coincidence and instead program deliberately. Don’t rely on being lucky.

Writing code and seeing that it works without fully understanding why is how you program by coincidence.

This really becomes a problem when something goes wrong and you can’t figure out why because you never knew why it worked to start off with.

We may not be innocent …

What if you write code that adheres to some other code that was done in error … if that code is eventually fixed, your own code may fail.

So if it’s working, why would you touch it?

It might not actually be working …

Maybe it doesn’t work with a different resolution.

Undocumented code might change, thus changing your “luck”.

Unnecessary method calls slow down the code.

Those extra calls increase the risk of bugs.

Write code that others implement with well documented code that adheres to a contract.

Accidents of Context

You can also make the mistake that you assume certain things are a given, such as that there’s a UI or that there’s a given language.

Implicit Assumptions

Don’t assume something, prove it.

Assumptions that aren’t based on fact become a major sticking point in many cases.

Tip 44

Don’t Program by Coincidence

How to Program Deliberately

Always be aware of what you’re doing.

Don’t code blindfolded, Make sure you understand what you’re programming in, both business domain related and programming language.

Code from a plan.

Rely on reliable things. Don’t code based on assumptions.

Document assumptions.

Test your code _and_ your assumptions.

Prioritize and spend time on the most important aspects first.

Don’t let old code dictate new code. Be prepared to refactor if necessary.

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The Pragmatic Programmer by Andrew Hunt, David Thomas (Amazon)

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