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The MVP Dilemma: AI Magic or Traditional Code from Scratch?

An Tran
November 3, 2025
2 min read
The MVP Dilemma: AI Magic or Traditional Code from Scratch?

In the fast-paced world of startups where speed is king, the question of how to launch an MVP (Minimum Viable Product) quickly is always a hot topic. With the recent explosion of AI code-generation tools, we're at an interesting crossroads: should we use AI "magic" to get an instant product, or patiently grind out every line of code from scratch?

🚀 Team AI: Speed Above All

Undeniably, AI tools (like GitHub Copilot, etc.) or AI-assisted low-code/no-code platforms can churn out an MVP in astonishingly little time.

  • The Pros: You can rapidly turn an idea into a functional product to test the market. This is vital if you need to validate your concept before pouring in too many resources. It also significantly reduces initial costs.
  • The Cons: Code generated by AI can sometimes be... "weird." It might work, but the structure can be messy, hard to maintain, and extremely difficult to scale. You risk getting "stuck" with a pile of code nobody wants to touch once the product starts to grow.

💪 Team Manual Code: Building a Solid Foundation

Coding every line and every component yourself is the traditional path, but it remains incredibly valuable.

  • The Pros: You have total control. Every line of code is clean, well-organized, and follows a clear architecture. When you need to add features or fix bugs, everything is within your grasp. This is about building a solid foundation for your future castle.
  • The Cons: The most obvious drawback is time. This route is labor-intensive and requires strong programming skills. While you're still fiddling with the login feature, your AI-using competitor might have already acquired their first 100 users.

Conclusion: Which Path to Choose?

There's no single right answer. The choice depends on your goal:

  1. If you just need to validate an idea and are willing to "throw away" this MVP after getting data, use AI. It's fast, cheap, and effective for testing.
  2. If you are confident in the idea and see this MVP as the first step toward a large-scale product, code it from scratch. Slow and steady wins the long race, and a solid foundation will support your journey.
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An Tran

An Tran

Software Engineer, sharing my passion for creating beautiful web experiences.

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Tags:#MVP#AI#AI Coding#Low-code#Startups

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