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systems3 min read

How I Build MVPs That Don’t Need a Rewrite in 6 Months

Most MVPs move fast but fall apart later. Here’s how I build MVPs that stay flexible without overengineering.

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Who this is for

This post is for founders and engineers building an MVP who want to move fast without creating a mess they’ll regret a few months later.


Most MVPs don’t fail because of missing features.

They fail because:

  • the codebase becomes hard to change
  • every new feature feels risky
  • velocity drops right when things start working

That usually leads to a painful rewrite.

The goal of an MVP isn’t perfection —
it’s building something that can change easily.


MVP Does Not Mean Messy

Fast does not mean careless.

An MVP should be:

  • simple
  • flexible
  • easy to understand

If an MVP feels scary to touch after a few months, something went wrong.


The Principle I Optimize For: Change

Early-stage products change constantly:

  • features get dropped
  • assumptions break
  • users behave differently than expected

So instead of optimizing for scale, I optimize for change.

That means:

  • fewer abstractions
  • clearer boundaries
  • boring, predictable tech

Start With a Simple Architecture

I usually start with:

  • a single codebase
  • a clear separation between frontend and backend
  • straightforward APIs
  • one primary database

Not because it’s “best practice” —
but because it’s easy to reason about.

You can always split things later. Untangling chaos is much harder.


Be Careful With Abstractions

Abstractions feel smart early on.

They become painful when:

  • requirements change
  • edge cases appear
  • nobody remembers why they exist

In an MVP:

  • duplicate a little code
  • name things clearly
  • refactor only when patterns are obvious

Clarity beats cleverness.


Data Models Matter More Than Features

Features change.
Data models tend to stick.

I spend time early on:

  • understanding core entities
  • defining relationships clearly
  • avoiding premature normalization

A good data model makes future features easier.
A bad one makes everything harder.


Don’t Ignore Deployment and Environments

An MVP that only works locally isn’t real.

From the start, I make sure:

  • deployments are automated
  • staging and production are separated
  • failures are visible

If shipping is painful, iteration slows down.


What I Avoid in Early MVPs

On purpose, I usually avoid:

  • microservices
  • heavy infrastructure
  • complex caching layers
  • “future-proof” abstractions

Not because they’re bad —
but because they’re rarely needed this early.


The Goal of a Good MVP

A good MVP:

  • is easy to extend
  • is easy to delete parts of
  • doesn’t fight you when requirements change

If you can confidently add or remove features without fear, you’ve done it right.


Building an MVP? These might help:


Final Thought

The best MVPs don’t feel impressive.

They feel:

  • calm
  • simple
  • easy to work with

That’s what gives you real speed —
not hacks, not shortcuts, not rewrites.

Build for change first.
Everything else comes later.