The startup technical debt trap is often invisible until it isn’t, and by the time most founders notice it, they’re already paying interest they never budgeted for. That is the central argument from Eugi Bartolo, the former CTPO at Sifted, who has spent years working across startups and scaleups and sees the same patterns repeat regardless of sector, product or leadership team.
The premise is straightforward but counterintuitive: many startups that believe they are moving fast are actually just skipping the foundational work. Documentation doesn’t get written. Processes live in people’s heads rather than systems. Quick technical decisions get made without the people who will have to maintain them. And for a while, none of it matters. Then it all matters at once.
How the startup technical debt trap is built, one shortcut at a time
Bartolo argues that the damage rarely starts during hard times. It begins when a company is succeeding: hiring quickly, shipping features, and suddenly flush enough to throw people or software at every problem. The jump from 15 to 150 people is where the real trouble often gets quietly embedded. Processes that worked around one table start to crack, but instead of simplifying, companies add more tools, more people and more software.
The result, in Bartolo’s experience, is spectacular over-complication. Teams end up running two or three internal apps doing more or less the same thing, each with its own maintenance costs and quirks, and nobody quite remembers why. The same business outcome gets achieved by four different teams following four different undocumented processes. That sounds like harmless variety, until someone tries to standardise or automate any of it. You cannot automate a process that only exists in someone’s muscle memory.
Documentation, meanwhile, gets reduced to whatever can be typed fastest. The ‘single source of truth’ lives in a Google Doc last touched six months ago, owned by someone who has since left. The product roadmap is a single slide. Requirements are scattered across Slack threads, where institutional knowledge goes to be forgotten.
As Martin Fowler sets out in his analysis of scaleup bottlenecks, development teams should be producing concisely written technical documentation, API specifications and architectural decision records, all discoverable via a developer portal or search. The gap between that standard and a six-month-old Google Doc is where debt quietly accumulates.
When the bill arrives
The startup technical debt trap tends to reveal itself gradually, then all at once. Releases take longer. Onboarding new hires stretches from weeks into months. Engineers spend more time deciphering existing systems than building new ones. Every organisational change feels disproportionately painful. Bartolo frames this not as ‘losing speed’ but as paying interest on accumulated shortcuts.
Fowler’s research on scaleup bottlenecks puts the endpoint bluntly: eventually, the lack of technical investment comes to a head. The team becomes paralysed, measured in lower velocity and growing frustration. The startup has to rebuild significantly, meaning feature development has to slow down, which gives competitors room to catch up. It is a high price for decisions that felt free at the time.
CodiLime‘s analysis of technical debt reinforces the point: failing to allocate time for regular code reviews, refactoring and documentation allows debt to accumulate in ways that make software progressively harder to maintain and enhance. The shortcuts compound.
A particular variant of the problem, Bartolo notes, comes from non-technical leaders making technical decisions. The quick fix gets wired together, the tool gets chosen, the shortcut gets taken, all without the context a technical expert would have flagged. Because it works in the short term, nobody questions it. In the long term, the tech team inherits a permanent decision made with temporary information, one they never agreed to and cannot easily unpick.
There is also the question of what happens when someone leaves. In startups, knowledge rarely lives in systems. It lives in people. The engineer who ‘just knows’ why the payments service behaves oddly on the last day of the month. The product manager who remembers which half of the roadmap is aspirational. When they hand in their notice, that knowledge walks out with them, and what looked like a tech stack turns out to have been load-bearing on a single human being.
The case for boring discipline
Bartolo’s proposed remedy is unglamorous by design. Find the duplication: the two apps doing one job, the four teams solving the same problem in parallel. Killing one of them is often the fastest win available. Pick one home for documentation and keep it alive. Write the real workflow down before attempting to automate it. And before any ‘quick’ technical decision, spend ten minutes with the person who will still be maintaining it in a year.
The teams that genuinely move fastest, in Bartolo’s view, are the ones that are disciplined about a handful of foundational things. Speed and rigour are not opposites. Mistaking skipped homework for being ahead of the class is the startup technical debt trap in its purest form, and the bill, when it arrives, tends to land at the worst possible moment: mid-fundraise, mid-outage, or mid-resignation.
Bartolo’s full account of these patterns is published via Sifted.
