Building your product

Technical debt explained for founders: when it's fine and when it will bite

Every product has technical debt. The real question is whether yours is a sensible loan or one with ruinous interest. Here is how to tell, and how to manage it without stopping feature work.

Technical debt is the extra work you will have to do later because of shortcuts taken now. Like a loan, it buys speed today and charges interest: changes take longer and break more easily until you pay it back. Some debt is a smart startup trade; it turns dangerous when nobody tracks it and the interest eats your roadmap.

You do not need to read code to manage it. You need to know what to look for, what to ask, and how much of your team's time to set aside for it.

What is technical debt, in plain English?

Think of it as a business loan. The principal is the shortcut itself: the code that will eventually need redoing. The interest is the extra time every future change costs because the shortcut is still there.

Say your booking app stored every price as a plain number because you only sold in one currency. That was a sensible call at launch. A year later you expand to a second country, and suddenly prices, invoices, refunds, reports and emails all need to understand currencies. The shortcut saved a day back then; paying it back now takes weeks, and every feature built on top of it in the meantime made the job bigger.

Other everyday examples:

  • The same logic copied into several places, so every change has to be made several times
  • No automated tests, so every release needs slow manual checking and still lets bugs through
  • Libraries and frameworks several versions behind, so upgrading becomes a project of its own
  • A script someone runs by hand every Monday that nobody else knows about
  • A quick fix from launch week that quietly became permanent

One idea changes how you think about all of this: debt only charges interest where you make changes. Messy code in a corner of the product nobody touches costs you almost nothing. The same mess in your checkout flow, which you change every month, costs you every month.

Deliberate vs accidental debt

Not all debt is equal. The useful questions are whether someone chose it, and whether anyone remembers.

Kind of debtExampleWhat to do
Deliberate and recordedManual invoicing until you have 50 customersFine; repay when the trigger arrives
Deliberate and forgottenA launch-week hack nobody wrote downFind it, record it, schedule it
Accidental, from inexperienceA design the team did not know was fragileFix where it hurts; add code review
Accidental, from changeYour business outgrew a once-good designNormal; budget for it continuously

The first kind is a business decision, like taking a loan with known terms. The last kind is unavoidable, because every product is designed for the business you had when it was built. The two in the middle are what quietly slow teams down, because nobody knows the debt is there until it sends the bill.

One source of accidental debt is easy to avoid from day one: unusual technology that few developers know and fewer maintain. Choosing mainstream, well-supported tools is a big part of choosing a tech stack you will not regret.

When technical debt is fine for a startup

Before you have product-market fit, the biggest risk is building something nobody wants, not building it imperfectly. Taking on debt to learn faster is often exactly right for:

  • Experiments and prototypes that may be thrown away next month
  • An MVP, where manual work and simple designs stand in for features you are not sure you need
  • Parts of the product that rarely change, such as an admin screen three people use
  • Deadlines that genuinely matter, such as a launch tied to an event or a funding milestone

Two conditions make it safe. The debt is written down where the team can see it, and there is an agreed trigger for paying it back: a number of users, a funding round, a second market. Deliberate shortcuts are a normal part of scoping an MVP; the mistake is forgetting you took them.

Warning signs that technical debt is starting to bite

You can spot expensive debt without opening the code. Watch for these symptoms:

  • Delivery is slowing down even though the team is the same size
  • Small changes get surprisingly large estimates
  • Fixing one thing regularly breaks something else
  • The same bugs keep coming back
  • Developers avoid certain parts of the code, or only one person dares to touch them
  • Releases are rare, manual and nerve-racking
  • New developers take weeks before they can ship anything
  • Upgrading a library or applying a security patch has turned into a project

One or two of these are normal in any growing product. When several show up together and keep getting worse, the interest is eating a real share of your team's time, and it is time to act.

How to gauge how much technical debt you have

There is no single number for technical debt, so be wary of anyone who sells you one. A clear enough picture comes from three sources.

1. Ask the people who work in the code

Developers usually know exactly where the debt is, which is why this is the first conversation I have when I start working with an existing team. Ask them to list the top five to ten items and, for each one, what it slows down, what it risks and roughly how long it would take to fix. Questions that get useful answers:

  • Which part of the code slows you down the most, and why?
  • If you had two weeks with no new features, what would you fix first?
  • Which parts would you be nervous to change on a Friday afternoon?
  • What are we running that is no longer supported or patched?
  • What would break first if our number of users doubled?

Track a few simple measures over months: how long a small change takes from request to release, how often you release, and how many bugs get reopened. You are not looking for a benchmark, just the direction. A steady slowdown with the same team is the clearest sign of debt compounding.

3. Get an outside view

A senior engineer or fractional CTO who did not write the code can usually review it in a few days and tell you whether the debt is ordinary or serious. This matters most before fundraising, since investors look at code quality too; the technical due diligence checklist shows what they examine.

How to pay down technical debt without stopping feature work

The worst approach is to ignore debt for a year and then halt everything for a big cleanup. The approach I recommend is boring and steady:

  1. Keep a debt register. A labeled list in your issue tracker, with each item's cost and impact in plain words. Debt you can see is debt you can plan.
  2. Reserve a steady share of every sprint. Many teams set aside something like 10 to 20% of their capacity for debt and maintenance. The right number depends on the product's age and condition; what matters is that it is constant rather than renegotiated every week.
  3. Pay where you are already working. When a feature touches a messy area, clean up that area as part of the feature. That is where the interest is highest, so that is where repayment pays off most.
  4. Prioritize by pain, not by ugliness. Rank items by how often they slow you down or cause incidents, not by how much they offend a developer's taste.
  5. Add tests before big changes. Tests around a fragile area make it safe to improve without breaking what already works.
  6. Save dedicated cleanup sprints for big items, such as a major framework upgrade, and give them a clear goal like any other feature.

Rule of thumb: if paying down a piece of debt will not make a part of the product you change often faster or safer to work on, it can wait.

Refactor or rewrite?

Refactoring means improving the structure of existing code without changing what it does, one piece at a time, while the product keeps running. Rewriting means starting again from scratch. Developers frustrated by heavy debt often propose the second.

Be cautious. A rewrite pauses most visible progress, has to rediscover every rule the old system handled quietly, and can easily build up new debt of its own. In my experience, steady refactoring is the right answer far more often. A rewrite earns its place only with a concrete reason, such as unsupported technology or a core design that contradicts how the business now works. If you face that decision on a project that has already stalled, my guide to getting a stalled project back on track sets out the criteria.

How to talk about technical debt with your developers

Most friction about debt comes from two people speaking different languages. Developers describe it in code terms; founders hear “we want time off from features.” A few habits close the gap:

  • Ask for business terms. What does this slow down, what does it risk, and what gets better when it is fixed? A good answer sounds like “every pricing change takes three days instead of half a day.”
  • Make it safe to raise. If flagging debt gets someone blamed, people stop flagging it, and you learn about it from an outage instead.
  • Agree the budget once. A standing share of each sprint avoids a weekly tug of war between features and fixes.
  • Do not write blank checks. “Tech debt” is not a reason on its own. Each item needs a payoff someone can describe.
  • Own your share. If every deadline is urgent and every shortcut is approved, some of the debt is yours. That is fine, as long as it was a choice.

Weekly demos and a visible backlog help here too; the guide to managing developers when you are not technical covers those habits in more depth.

The bottom line

Technical debt is not a sign of a bad team. It is a normal tool, and like any loan it is useful when taken deliberately, written down and repaid on purpose. Track it in plain language, spend a steady slice of every sprint on the parts of the product you change most, and treat rewrite proposals with healthy skepticism. If delivery keeps slowing and nobody can explain why, get an outside view before the interest takes over your roadmap.

Frequently asked questions

What is the difference between technical debt and bugs?

A bug is something that does not work as intended: a wrong total, a crash, a broken button. Technical debt is about how the software is built, not what it currently does. A product can work perfectly today and still carry heavy debt that makes every future change slow and risky. The two are linked, though, because heavy debt tends to produce more bugs over time.

Who is responsible for technical debt, the founder or the developers?

Both. Developers are responsible for flagging debt honestly, explaining its cost and not creating it carelessly. Founders and product leaders are responsible for the trade-offs, because most debt comes from decisions about speed, scope and deadlines. When founders push for speed without hearing the cost, or developers take shortcuts without saying so, debt piles up with nobody owning it.

How do investors look at technical debt?

Investors and acquirers expect some technical debt in a young company, so its existence is rarely the problem. What worries them is debt nobody can explain, security weaknesses, a product that cannot handle the growth in the business plan, or critical knowledge held by a single developer. A team that can show a short list of known debt and a plan for it usually comes across as mature, not careless.

Can AI coding tools reduce technical debt?

They can help. AI coding assistants are useful for writing missing tests, explaining unfamiliar code and speeding up repetitive refactoring. They can also create debt faster than ever, because they produce plausible code quickly and nobody may fully understand what was added. The same rules apply as for code written by people: review it, test it, and make sure someone on the team can explain how it works.