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Andrew Chadwick
Andrew Chadwick

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It’s Better to Be Lucky Than Right: Why Your Code Needs the "Seemingly Pointless" Catch-Alls

In all my time as a software engineer jumping between C# backends, SQL databases, and JavaScript frontends I’ve learned one undeniable truth: no matter how many edge cases you plan for, a user will inevitably do something that absolutely blows your mind.

You can design the most airtight architecture, and yet, sometimes the only thing that saves your system is a well-placed catch-all or an extra null check.

You know the one. It's the exact check that a coworker flags in the PR review, asking: "What's the point of this? The data should never be null here. I'll still approve the PR, but this really isn't needed."

And then, a week later, it ends up being the single line of code that stops a massive crash because a user somehow managed to completely bypass Step 3 of a form, and half the expected model data was missing.

The Edna Mode Principle

As Edna Mode rightly says: "Luck favors the prepared, darling."

You should always try to consider all the absurd angles from which someone might break your application. Users are incredibly creative at doing exactly what you didn't anticipate. They will:
Poke directly at your API endpoints instead of using the UI you spent weeks building.

Paste an entire 50-character address into a PlaceName field, causing the database to silently truncate it and lose the actual location info.

Find a way to submit a payload that defies the laws of your frontend validation.

AI Assumes the "Happy Path"
This preparation is especially critical right now with how heavily we are integrating AI into our workflows.

Whether you are using Copilot, a local Ollama model, or another assistant, AI is fantastic at giving you exactly what you asked for. It will write the "happy path" beautifully. However, it very rarely considers the chaotic, human edge cases.

AI assumes the user will follow the rules. As engineers, we know they never do. If you are relying on AI to write your data handling or API logic, you have to be the one preparing for the unpredictable scenarios the model overlooked.

Trust Your Intuition

There are a million ways a system can break. As much as we all want to be perfectly "right" in our code and logic, you simply can't be right 100% of the time.

Sometimes, your engineering intuition just has to kick in. When you feel the urge to drop in that extra validation step, that redundant fallback, or that seemingly pointless catch-all just do it.

It might seem entirely unnecessary right now, but it could be the exact thing that saves your system on a Friday afternoon.

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