Every digital product accumulates technical debt. The successful ones manage it deliberately. The unsuccessful ones are slowly destroyed by it, usually without anyone in the leadership team understanding what is happening.
The phrase “technical debt” is, unhelpfully, jargon that sounds like a developer problem. It isn’t. It is one of the most consequential commercial issues in any digital business – directly affecting velocity of delivery, cost of operation, ability to attract and retain engineers and ultimately the lifespan of the product itself. Senior leaders who don’t understand it end up funding it indefinitely without ever knowing why their digital roadmap keeps slipping.
What technical debt actually is
The metaphor is precise. When code is written under time pressure, with shortcuts, with incomplete testing, with workarounds – that code works in the short term but creates an obligation to revisit and improve it later. The “debt” is the work owed.
Like financial debt, it accrues interest. The longer it sits, the more it costs to address. Code that could have been refactored cleanly in a week becomes a six-week untangling project two years later. Workarounds get built on workarounds. New features take longer because they have to navigate the accumulated mess. New engineers take longer to onboard because the codebase is harder to learn.
there are five common varieties:
1. Deliberate, prudent debt. “We’ll ship the simple version now and refactor when we know more.” This is healthy when paid back. Damaging when forgotten about.
2. Deliberate, imprudent debt. “We don’t have time to do this properly.” Often necessary, occasionally tragic. Most damaging when it becomes the default mode rather than the exception.
3. Inadvertent debt from inexperience. Code written by engineers who didn’t yet know better patterns. Common in early-stage products built by junior teams or under heavy AI-acceleration without senior review.
4. Architectural debt. Decisions made early that constrain later possibilities. Choosing the wrong database, the wrong framework, the wrong deployment model. The most expensive variety to repay.
5. Drift debt. Code that was good when written but has decayed as dependencies have evolved, standards have moved and the surrounding architecture has changed. Insidious because no individual change caused it.
Healthy products have all five in some quantity. Unhealthy products have all five in growing quantities, with no plan for any of them.
What it actually costs the business
Technical debt manifests commercially in five places, all of which appear in board reports under different names:
1. Slowing delivery velocity. Features that took two weeks now take six. The roadmap keeps slipping. Engineers seem to be working as hard as ever but shipping less. This is almost always technical debt at work.
2. Rising bug rates. Each new feature breaks something else. QA cycles lengthen. Production incidents become more frequent. Customer complaints rise. The reputation cost of this is usually larger than the direct support cost.
3. Difficulty hiring. Senior engineers can smell a debt-laden codebase in the first interview. They take other jobs. The roles you do fill go to less experienced candidates, who add to the debt rather than reducing it. This compounds dangerously.
4. Increasing infrastructure cost. Inefficient code, accumulated over years, costs more to run. The hosting bill grows faster than the customer base. This is rarely diagnosed correctly because it manifests gradually.
5. Strategic optionality lost. Eventually, the debt is so dense that some changes become effectively impossible. New product directions can’t be pursued because the foundation can’t support them. The product becomes locked into roughly its current shape.
Any one of these costs is meaningful. The combined effect is usually the dominant constraint on the business’s digital trajectory.
How healthy products manage it
The teams that build long-lived, healthy digital products do not avoid technical debt – that’s impossible. They manage it deliberately, with five practices that don’t appear in most digital project plans:
Practice 1: Maintain a debt register. Known shortcuts, deferred refactors and architectural compromises are documented. When a decision is made to take on debt, the debt is recorded with an estimate of what repaying it will cost. This sounds bureaucratic; it transforms how debt is discussed.
Practice 2: Allocate explicit refactoring time. A percentage of every sprint, or a regular dedicated period, is reserved for paying down debt. Without this, debt repayment never wins against feature requests and it accumulates indefinitely. The mature ratio is roughly 15-25% of engineering time.
Practice 3: Treat code review as architectural review. Senior engineers review not just the correctness of changes but their architectural fit. Patterns that introduce debt are caught before they merge, not after they’ve been replicated five times.
Practice 4: Invest in test coverage. Refactoring with a comprehensive test suite is straightforward. Refactoring without one is risky and slow. The test suite is the asset that allows debt repayment to happen at all. Underfunding tests is one of the most expensive false economies in software.
Practice 5: Periodic deep cleans. Every 6-12 months, take a structured look at the codebase, identify the highest-friction areas and dedicate a focused effort to addressing them. This is qualitatively different from incremental refactoring and produces dramatic improvements in delivery velocity.
a team operating these five practices will sustain its delivery velocity over years. A team operating none of them will see velocity collapse within 18-36 months, regardless of how good the engineers are.
The inheritance problem
A particular subcategory of technical debt deserves separate mention: the debt inherited when an external team takes over a product built by someone else.
We see this regularly. A product built by an in-house team, an offshore agency, or a previous partner is handed over and the new team has to navigate years of accumulated decisions made for reasons that aren’t documented. The cost of any change is significantly higher than it would be on a familiar codebase and the new team takes blame for the slowness without it being clear why.
The disciplined response is an explicit handover audit: a structured period – typically 2-4 weeks – where the new team examines the codebase, documents what they find, identifies the highest-impact issues and produces a plan for addressing them. Skipping this audit and trying to deliver new features on day one is almost always a mistake; the audit pays back in months, not years.
The strategic point
Technical debt is the single most under-discussed commercial issue in digital products. Boards fund features and ignore debt. Engineering teams know about it but lack the standing to insist it be addressed. Quarter after quarter, it grows quietly, until it becomes the dominant constraint on what the business can do.
treating it as a first-class commercial concern – visible, budgeted, deliberately managed – is one of the most leverage-positive things a digital business can do. The teams that have made this shift outperform their peers consistently and durably. The teams that haven’t are racing toward a wall they can’t see.
Worried that your digital product is accumulating debt faster than you can repay it? Our codebase audits surface the issues clearly and produce a remediation plan that’s commercially defensible. Get in touch.