> For the complete documentation index, see [llms.txt](https://milaforge.gitbook.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://milaforge.gitbook.io/home/founding/technical-debt-in-an-mvp-what-to-fix-before-scaling.md).

# Technical Debt in an MVP: What to Fix Before Scaling

Learn which technical problems in an MVP should be fixed before scaling, how to prioritize technical debt, and when a rewrite is actually justified.

An [MVP](/home/founding/what-is-a-software-mvp.md) will usually contain shortcuts. That is not automatically a problem.

The important question before scaling is:

> **Which technical problems could become a business problem if more users, data, or traffic arrive?**

Not every piece of technical debt deserves immediate attention. Fix the problems that increase **risk, cost, or the difficulty of changing the product**.

### Fix problems that can hurt users or the business

Prioritize technical issues that could cause:

* **Data loss or corruption**
* **Security vulnerabilities**
* **Payment or financial errors**
* **Frequent outages or unreliable core functionality**
* **Poor performance at expected usage**
* **Inability to recover from failures**

These are usually more important than code that is simply messy.

### Fix bottlenecks before they become expensive

Some MVP shortcuts work with 100 users but become expensive or unreliable with 10,000.

Look for:

* Database queries that do not scale
* Infrastructure with obvious capacity limits
* Excessive dependence on a single service
* Manual processes that will not work at higher volume
* Architecture that makes common changes unusually difficult

You do not need to optimize for millions of users before you have them. Fix **known bottlenecks**, not hypothetical ones.

### Fix technical debt that slows product development

Technical debt becomes a business problem when every new feature takes longer or introduces new bugs.

Examples include:

* Highly coupled code
* Repeated workarounds
* Unclear application boundaries
* Fragile deployments
* Missing tests around critical functionality
* Dependencies that are difficult to update

If engineers repeatedly struggle with the same part of the system, that is stronger evidence for refactoring than simply having old code.

### Do not rewrite everything

A common mistake is deciding that the MVP must be rebuilt before the business can grow.

A rewrite can consume months while providing little customer value.

Instead, ask:

1. **What will break if usage increases?**
2. **What could expose users or the business to serious risk?**
3. **What makes the next important features unnecessarily difficult?**
4. **Can we fix the problem incrementally?**

If the answer to all four is no, the technical debt may be acceptable for now.

### A practical prioritization rule

Classify technical problems into three groups:

**Fix now**\
Security risks, data integrity issues, serious reliability problems, and known production bottlenecks.

**Fix soon**\
Problems that significantly slow development or will become expensive as usage grows.

**Defer**\
Code that is messy but stable, unused abstractions, premature optimizations, and problems with no meaningful business impact.

The goal is not to eliminate technical debt.

The goal is to make sure **technical debt does not become the constraint that prevents the business from scaling**.

#### Related reading

If you are preparing an MVP for real users, see [MVP to Production: What Changes After Your MVP Works](/home/founding/mvp-to-production-what-changes-after-your-mvp-works.md) for the broader production requirements.

If you have just completed an MVP and are deciding what to do next, start with [After Building an MVP](/home/founding/after-building-an-mvp.md).

***

Have an MVP and unsure what needs to be fixed before production? [Get in touch](/home/build/contact.md) to discuss the technical next steps.