We were moving fast.
Features shipped every week.
Stakeholders were happy.
The backlog was finally under control.
Then, almost without noticing, everything slowed down. A feature that should have taken a day took three abd a small change broke something unrelated. Fixing bugs started taking longer than building new features.
And at some point, someone said:
“But this used to be faster, right?”
They weren’t wrong. At some point in the past, things were faster, but that speed came at a cost.
A cost that wasn’t visible at the time.
A cost that quietly accumulated.
This is something I’ve often wanted to explain to non-technical stakeholders:
we didn’t suddenly become slower, we’re just paying back what we borrowed.
TL;DR
- Technical debt behaves like a high-interest loan: it feels cheap at first, but becomes expensive over time.
- The real problem isn’t having technical debt, it’s letting it compound unmanaged.
- Refactoring isn’t a cost, it’s an investment with measurable ROI in team velocity.
Table of Contents
The Illusion of Speed
Technical debt often starts as a conscious trade-off:
- You skip a refactor.
- You duplicate a bit of logic.
- You hardcode something “just for now”.
And in the moment, it feels like the right decision because:
- You move faster.
- You deliver sooner.
- You hit the deadline.
That’s why it’s so hard to avoid, because it works, but what you’re really doing is borrowing time from your future self and like any loan, that time comes back.
Technical Debt as a Financial Model
One of the most useful ways to think about technical debt is to treat it like an actual financial system.
Not just a metaphor, but a model.
Principal: the shortcut
The principal is the initial shortcut you take:
- skipping a proper abstraction
- duplicating logic instead of extracting it
- shipping a workaround instead of fixing the root cause
Individually, these decisions are often reasonable.
Sometimes even necessary.
Interest: the friction
The interest is what you pay every time you touch that code again. It shows up as:
- extra time to understand what’s happening
- unexpected side effects
- more effort to implement even simple changes
You don’t notice it immediately.
But it’s there, every time.
Compounding: the multiplier
And then comes the real problem: compounding.
Each new feature built on top of messy code increases the cost of the next one.
Not linearly.
Exponentially.
Where the Interest Shows Up
Interest doesn’t arrive as a big, visible cost, it shows up as friction.
Small things that make your work just a bit slower, every single day.
- A feature takes longer than expected
- A bug fix introduces another bug
- You spend more time reading code than writing it
- Onboarding a new developer becomes difficult
Or even something like this:
// "temporary" workaround from 6 months ago
if (user.role === "admin" && featureFlagX) {
// special case inside special case
}
Nothing here breaks the system, but everything here slows you down.
That’s the interest you’re paying.
The Compounding Effect
This is where things become dangerous.
Technical debt doesn’t just add cost, it multiplies it. Every new feature built on top of unclear or fragile code becomes:
- harder to implement
- harder to test
- harder to change
So the next feature takes longer.
And the next one.
And the next one.
At some point, the system isn’t just complex.
It’s actively resisting change.
And that’s when velocity starts dropping, even if your team hasn’t changed at all.
When Teams Hit Default
In finance, default happens when you can’t repay your debt anymore.
In software, it looks different, but the signal is clear.
You see it when:
- refactoring is always postponed
- certain parts of the codebase are avoided
- every release feels risky
- progress slows down despite increasing effort
At this stage, teams often react the wrong way.
They try to push harder.
More hours.
More pressure.
More “just ship it”.
But the problem isn’t effort.
It’s accumulated complexity.
And no amount of speed can compensate for that.
The ROI of Refactoring
Refactoring is often perceived as a cost, something that slows down delivery, something you “don’t have time for”, but that perspective ignores the return.
Refactoring is an investment.
And like any investment, it pays off over time.
Let’s make it concrete, imagine:
- A feature currently takes 3 days to implement
- After refactoring, similar features take 1.5 days
That’s a 50% improvement.
Over 10 features, you’ve saved 15 days.
That’s not just cleaner code, that’s recovered velocity.
And just like debt compounds negatively, good code compounds positively:
- faster development
- fewer bugs
- easier onboarding
- more confidence in changes
This is where engineering meets business, because velocity is not just a technical metric, it’s a business advantage.
When NOT to Refactor
Not all debt needs to be repaid immediately, and not all code needs to be perfect.
Refactoring everything blindly can be just as harmful.
Avoid refactoring when:
- the code is rarely touched
- the feature is about to be replaced
- you’re still validating a product idea
- the cost clearly outweighs the benefit
The goal is not to eliminate technical debt, but it’s to manage it intentionally.
Practical Ways to Manage Technical Debt
You don’t need a full rewrite to stay in control, you need consistency.
A few habits make a huge difference over time:
- Refactor as you go: improve code while you’re already working on it
- Make debt visible: track it instead of hiding it
- Set a refactoring budget: even 10–20% of time is enough
- Review for maintainability, not just correctness
- Call out complexity early, before it spreads
These are small actions, but they prevent large problems.
Final Thoughts
Technical debt isn’t the enemy, it’s a tool.
Sometimes you take on debt to move faster and that’s a valid decision, but if you ignore it, it becomes a liability and, eventually, it starts slowing everything down.
The real problem isn’t having technical debt.
It’s pretending you don’t.
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