What is technical debt?
Technical debt is like financial debt: the longer you wait to pay it back, the more it costs. In an MVP context, it's the set of technical choices you make to move fast but that slow you down later. The problem? We often don't take the time to fix them, and they accumulate until they become a real nightmare.
The goal isn't to avoid all technical debt—let's be honest, that's impossible in an MVP. The goal is to make conscious choices, document what's temporary, and plan how you'll repay that debt later. Because yes, you'll have to repay it one day, and it's better to know that from the start.
Common MVP pitfalls
1. No tests
"We don't have time to test, we code directly." We've all heard that line! And it's mistake number one. Without tests, every change becomes a risk. You don't know if you're breaking something. Result? You fear changing code, you duplicate instead of refactor, and debt accumulates. It's a vicious cycle we've lived through, and it's not pleasant.
Our solution: Even for an MVP, set up unit tests on critical parts (calculations, validations, business logic). You don't need 100% coverage—we're not kidding!—but at least 60–70% on important functions. It will save you a massive amount of time later.
2. No feature flags
You build a feature, you deploy it, and if it doesn't work, you have to do a full rollback. It's stressful and risky.
Solution: Use feature flags from day one. They let you enable/disable features without redeploying. You can test in production with a small user group before rolling out.
3. No separation of layers
Everything is mixed: business logic with the interface, API calls directly in components, validation only in the front-end. Result? When you want to change something, you have to touch everything.
Solution: Even in an MVP, separate responsibilities. One layer for business logic, one for data access, one for presentation. It takes a bit more time at the start, but saves a lot later.
4. No monitoring
Your MVP is in production, but you don't know what's happening. Users hit errors? You don't know. Performance degrades? You don't see it.
Solution: Set up basic monitoring from day one. Structured logs, alerts on critical errors, a simple dashboard to see the health of the app. It doesn't cost much and saves you a lot of debugging time.
Best practices for a clean MVP
1. Feature flags from day one
Feature flags are your life insurance. They allow you to:
- Deploy without risking breaking production
- Test with a small group of users
- Quickly disable a problematic feature
- Iterate quickly without fear
Simple solutions exist: LaunchDarkly, Unleash, or even a basic in-house setup with environment variables.
2. A clean data layer
Even if you start with a simple database, think ahead. Use migrations from day one. Document your schema. Plan how you'll handle structural changes.
If you use an external API, create an abstraction layer. It lets you switch providers or mock easily for tests.
3. Tests on critical parts
You don't need to test everything, but test what's important:
- Calculations and business logic
- Data validations
- Integrations with external services (using mocks)
- Critical flows (sign-up, payment, etc.)
4. A minimal but functional CI/CD
Even for an MVP, automate deployments. It saves time and reduces errors. A simple pipeline that:
- Runs tests
- Builds the application
- Deploys automatically
GitHub Actions, GitLab CI, or even a simple bash script. The important thing is to automate.
How to repay technical debt
Technical debt is normal in an MVP. The important thing is to manage it:
- Document what's temporary: Add TODO comments with a deadline. "This solution works but must be refactored before v2."
- Plan repayment: Reserve 20% of development time to pay down debt. That can be a day per week or a week per month.
- Prioritise: Not all debt is equal. Pay down what slows you down most first.
- Refactor gradually: Don't redo everything at once. Refactor one part at a time while keeping the app functional.
In summary
An MVP without technical debt is an MVP that can evolve. You don't need to do everything perfectly, but you do need to make conscious choices. Feature flags, tests on critical parts, separation of layers, basic monitoring—these are the basics that let you iterate quickly without shooting yourself in the foot.
The goal of an MVP is to validate an idea quickly. But "quickly" doesn't mean "anyhow". Take time to lay the right foundations, and you'll be able to iterate much faster afterwards.
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