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- Hien Phan
- X (Twitter)
The 'Good Enough' Code Philosophy: Why Perfectionism Almost Killed My First MVP
I remember those first few weeks of building my very first MVP. I was so excited, so driven, but also… completely stuck.
I'd spend days, sometimes a week, refactoring a single feature. My goal was to write "perfect" code, code that was elegant, efficient, and future-proof.
The problem? This relentless pursuit of perfection was a silent killer of progress.
Every small bug fix felt like an opportunity to rewrite half the module. Every new idea meant going back and ensuring the existing structure was "ready" for it.
The launch date kept slipping further and further away.

I was drowning in my own desire for flawlessness. I was so focused on building the perfect foundation that I forgot the point of an MVP is to get something out there.
Something real users could interact with. Something I could learn from.
This is how I learned the hard way about the "Good Enough" code philosophy. It’s not about writing sloppy or buggy code.
It’s about understanding that for an MVP, "good enough" is often exactly what you need. It means shipping value quickly and iterating based on actual feedback, not imagined future needs.
To help you avoid my mistakes, I developed a simple checklist. Before I dive deep into over-engineering or endless refactoring, I ask myself these five questions:
My 'Good Enough' Code Checklist
- Does this feature solve the core problem for the user? If the answer is yes, and it's functional, then it's probably good enough for now.
- Is this code readable and maintainable by me in a few months? It doesn't need to be a masterpiece for a Nobel Prize in Computer Science, just understandable for future Hien.
- Is there a simpler way to achieve this right now? Often, the most complex solution isn't the best for an initial launch.
- Am I over-optimizing for a problem that might not exist? Premature optimization is a classic trap. Let user data guide your optimization efforts.
- Will shipping this now provide more learning than continuing to polish it? This is the ultimate question. Speed of learning trumps perfection.

For example, when building my first task management app, I spent days trying to create the most robust, infinitely scalable database schema. I was so worried about future growth that I forgot I had zero users!
I eventually scaled back, implemented a simpler structure that met immediate needs, and launched. The feedback I got from those first few users was invaluable and guided my actual future development far better than my premature architectural dreams.
Embracing "good enough" was the breakthrough. It allowed me to ship my MVP, get it into the hands of real people, and start the crucial process of iteration. It’s a constant battle against my inner perfectionist, but this checklist helps keep me grounded.

Takeaways for Shipping Faster
- Define "Good Enough" for Your MVP: What's the absolute minimum functionality needed to validate your idea?
- Timebox Your Tasks: Set strict limits on how much time you'll spend on a feature before moving on.
- Prioritize Feedback Over Perfection: Your users are the best source of truth for what needs improvement.
- Refactor After Validation: Once you know a feature is valuable, then you can invest time in making it perfect.
Don't let perfectionism be the reason your great ideas never see the light of day. Adopt the "good enough" mindset for your MVP, ship fast, and learn even faster. You've got this.

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