The codebase is a mess.
There's a function that should be split into three. A database query that's embarrassingly inefficient. Comments that are lies. Tests that don't exist.
And you know what? It's fine.
The Perfection Trap
Technical perfection is seductive:
Clean code feels good. Professional. Respectable. Something to be proud of.
Best practices exist for reasons. They make code maintainable, scalable, testable.
Debt compounds. Everyone says so. Today's shortcut is tomorrow's nightmare.
All true. And also: none of it matters if you don't ship.
What Technical Debt Actually Is
Let's be clear about what we're discussing:
Technical debt is a trade-off. Speed now for cleanup later. It's borrowing from the future.
It's not the same as bad code. Bad code is mistakes. Technical debt is intentional choices.
It's a tool. Like financial debt. Useful when used wisely. Dangerous when not.
The goal isn't zero debt. It's appropriate debt.
When Debt Makes Sense
Take on technical debt when:
You're validating an idea. If the product might not work, why gold-plate it? Ship it ugly.
Speed matters more than polish. First-mover advantage. Competitive pressure. Market windows.
The messy solution works. Working messy beats perfect vaporware.
You'll know more later. The "right" architecture is clearer after you've built version one.
When to Pay It Down
Technical debt needs attention when:
It's slowing you down. Every feature takes three times as long because of the mess.
It's causing bugs. The same problems keep recurring. The debt is creating real issues.
It's blocking features. Things you need to build can't be built on the current foundation.
It's becoming unmaintainable. You can't understand your own code anymore.
These are signals. Before they appear, the debt is probably fine.
The Solo Founder Exception
For solo founders, the calculus is different:
You maintain your own code. You know where the bodies are buried. You can navigate the mess.
Your time is your only resource. Hours spent on refactoring are hours not spent on customers.
You're not coordinating with a team. No one else needs to understand the code.
The product might pivot. Clean architecture for the wrong product is waste.
The best practices for large teams don't always apply to one-person operations.
The Guilt Is Unnecessary
Stop feeling bad about:
Copied and pasted code. It works. Refactor when you need to.
Missing tests. Write them when you have users who depend on the code.
Hardcoded values. Configuration is overhead you may not need.
TODO comments. They're honest. Better than pretending the code is perfect.
Guilt doesn't improve code. Shipping does.
Practical Debt Management
A sensible approach:
Keep a debt list. Know what's messy. You don't have to fix it now.
Fix debt when you're in the area. Touching that code anyway? Clean it up.
Priority by pain. What's actually causing problems? Fix that. Ignore the rest.
Don't preemptively optimize. You probably don't know where the real problems will be.
The Real Risk
The risk isn't technical debt.
The risk is never shipping because you're chasing perfect code. The risk is running out of motivation refactoring something no one uses. The risk is building the perfect foundation for a product that never finds customers.
Ship. Then iterate. Including on the code.
Related Reading
- Ship It Ugly — The philosophy behind pragmatic shipping.
- Simple Wins — Complexity isn't quality.
- The Stack Doesn't Matter — Another thing not to obsess about.