How do you handle technical debt at an early startup?

At an early startup, some technical debt is a rational choice—you're buying speed with future cost. The mistake isn't accumulating debt; it's accumulating the wrong kind, or never scheduling payback. The goal is to keep moving fast without building a codebase that eventually stops you cold.

Not all technical debt is equal—learn to tell the difference

Technical debt comes in two flavors that feel identical in the moment but have very different consequences. The first is strategic shortcuts: you choose a simpler data model, skip tests on a feature you're not sure will survive, or use a third-party library instead of a custom solution because you need to ship this week. This kind of debt is often worth taking. The second is accidental mess: unclear naming, tangled dependencies, no separation of concerns, logic crammed into the wrong layer. This kind creates compounding drag on every future change and buys you nothing you couldn't have avoided with an extra hour of thought.

Garry Tan's engineering philosophy, visible in how he thinks about builder judgment, stresses that bugs and edge cases matter—not just the happy path. That framing helps: strategic debt usually lives on the happy path (you know the edge case exists and chose to defer it). Accidental mess corrupts the happy path itself and forces every future developer to reverse-engineer what the original author was thinking. Pay down accidental mess as you go. Bank strategic shortcuts deliberately, and log them somewhere you'll actually look.

A practical heuristic: before merging a shortcut, write a one-line comment explaining why it exists and what the eventual fix looks like. If you can't write that comment clearly, the shortcut isn't strategic—you just don't understand the problem well enough yet, which is a different and worse situation.

Constraints produce better architecture than abundance does

Paul Graham's observation in his writing on aesthetics is that a difficult site or a tight budget forces an architect toward elegant design—the unnecessary gets stripped away because there's no room for it. This maps almost perfectly to early startup engineering. When you have three engineers and a deadline, you cannot afford an elaborate abstraction layer nobody will ever need. You build the simplest thing that could work, and if your instincts are good, that ends up being surprisingly clean.

The problem starts when teams mistake 'fast' for 'sloppy' instead of 'minimal.' Minimal means the right amount of structure for what you currently understand. Sloppy means structure you'll have to untangle before you can change anything. The former compounds positively—clean minimal systems are usually easier to extend than over-engineered ones. The latter compounds negatively—every new feature has to fight through the existing confusion.

This is why early architectural decisions deserve more thought than they typically get, not less. You're not building for scale; you're building for changeability. A schema that's easy to migrate, a codebase organized so that a new engineer can find the relevant code in under five minutes, an API surface small enough that you can hold the whole contract in your head—these are not premature optimizations, they're the difference between a codebase that lets you move fast in month eight and one that's already become your primary obstacle.

When to pay it down: the trigger, not the calendar

Scheduled 'debt sprints' rarely work at early-stage companies because there's always something more urgent competing for the slot. A better model is trigger-based paydown: you fix debt when you're about to touch the code anyway. Adding a new feature to a messy module? Refactor the module first, then add the feature. Debugging a gnarly issue in a tangle of callbacks? Straighten out the control flow while you're already context-loaded. This approach costs almost no additional time because you're already paying the understanding cost—you just don't let the opportunity pass without improving what you found.

The other forcing function is team growth. A codebase that one founder can navigate by memory becomes incomprehensible to a fifth engineer who doesn't share that context. If you're preparing to bring on your second or third technical hire, that's a natural moment to do a focused cleanup—not a full rewrite, but a pass that turns tacit knowledge into explicit structure. Add the comments, name the functions better, split the 800-line file that does six different things. Think of it as writing documentation for humans who haven't been in every meeting.

What you should almost never do is rewrite from scratch while also trying to ship new features. Rewrites take longer than anyone predicts, the target is moving the whole time, and the new code usually re-accumulates the same debt within months because the underlying pressures haven't changed. Incremental improvement, triggered by real work, beats the big refactor nearly every time.

Protecting the non-coding founder from engineering decisions

At many two-founder companies, one person handles product and fundraising while the other owns engineering. This is efficient, but it creates a specific risk: the technical founder makes debt decisions alone, and those decisions stay invisible to the business side until the debt causes a visible crisis—a slow product, a missed deadline, a scaling failure that embarrasses the company in front of a customer.

The fix isn't to involve the non-technical founder in every architectural choice. It's to establish a simple shared language for communicating debt load. Something like: once a month, the technical founder gives a one-paragraph written update on the state of the codebase—what's been deferred, what's been cleaned up, and what debt is currently slowing development. This keeps the business founder informed enough to make resourcing decisions without requiring them to read pull requests.

This matters especially heading into a fundraise. Investors doing technical due diligence will ask about engineering culture and code quality. A founding team that can answer those questions confidently—'we have X areas of known debt, here's our plan for them, here's why we made those tradeoffs'—signals maturity. A team that discovers the question during due diligence and has no answer signals that the founders aren't running the company intentionally.

The practical floor: what you should never skip

Even at the scrappiest pre-revenue stage, certain things are not worth skipping. Version control with meaningful commit messages costs almost nothing and makes debugging and reversions dramatically cheaper. A basic test for your most critical user path—the one where a bug would cause data loss or lock users out—is worth an hour of your time before you ship. A simple deployment process that doesn't require one specific person to be online is worth half a day of setup. These aren't process for process's sake; they're the floor below which debt stops being strategic and starts being genuinely dangerous.

Security is another non-negotiable floor. Storing passwords in plain text, skipping input validation, using outdated dependencies with known vulnerabilities—these aren't technical debt, they're liability. The startup instinct to move fast can rationalize almost anything, but a security incident early enough can end a company before it has the resources to recover from the reputational damage.

Everything else is negotiable based on your specific situation. No test suite for a feature you're 60% sure you'll delete? Fine. Skipping a proper authentication system for an internal-only prototype? Reasonable. Hardcoded credentials in production that handle real customer data? Not acceptable. Draw your own floor based on what failure mode would actually be catastrophic, then be ruthless about skipping everything above it when speed is what you need.

“Be direct about quality. Bugs matter. Edge cases matter. Fix the whole thing, not the demo path.”

— Garry Tan, source

The one thing to do

Write a one-line comment on every deliberate shortcut explaining what it is and what the real fix looks like—if you can't explain it, you don't understand the tradeoff you're making.

Frequently asked questions

Should a pre-revenue startup have any tests at all?

Yes, but selectively. Write tests for the paths where a bug would lose user data, break payments, or lock people out. Skip tests on features you're actively experimenting with. The goal is a safety net under your most critical flows, not 100% coverage.

How do you decide when to refactor versus rewrite?

Default to refactor. Rewrites take two to three times as long as predicted, ship new bugs, and often recreate the old problems within months. Refactor incrementally, triggered by the moment you're already working in that part of the codebase.

What's the most dangerous form of technical debt at a startup?

Debt that couples every new feature to every old one—usually from skipping proper separation of concerns early. It creates a situation where no change is small, which is lethal when you need to move fast and the codebase says no.

How should we communicate technical debt to non-technical founders or investors?

Translate debt into product outcomes: 'This area of the code means changes to X feature take twice as long as they should.' Investors respect founders who know what they owe and have a plan—they distrust founders who are surprised by the question.

Sources

More playbook answers · Growth Prophet home