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From Complex Projects to a 2-Week App Launch: How AI Made It Possible

#indie #productivity #mindfulness #ai

From Complex Projects to a 2-Week App Launch: How AI Made It Possible

I’ve spent years building complex, ambitious projects. Big codebases, lots of features… and very little success. I tried to save money by relying on open-source services, avoiding paid third-party tools.

But in reality, small projects often don’t get enough attention from open-source or free services. Many things still required workarounds, hacks, or complicated integrations. I spent more time wrestling with infrastructure than building the app itself.

This time, I decided to do it differently.

I wanted to launch fast, focus on the product, and enjoy the process.

My 2-Week App Journey

I built a mindfulness app, Choose Like Buddha, in just two weeks. Here’s what I did differently:

  1. Leverage AI for development

    • I used Cursor to generate boilerplate code and speed up repetitive tasks.
    • AI chat assistants (like ChatGPT) helped me plan functions, write utility code, and even refactor logic faster.
    • AI tools saved me hours of debugging and coding from scratch.

  2. Use reliable third-party services

    • Supabase for the backend and database (no need to manage servers).
    • PostHog for analytics and user behavior tracking.
    • RevenueCat for in-app purchases and subscription management.
    • These services handled heavy lifting so I could focus on app logic and UX.

  3. Focus on a small, achievable goal

    • Instead of building a massive app, I built one core functionality: daily mindful decision-making exercises.
    • Added small supporting tools: breathing exercises and food awareness tracking.
    • Released in the App Store after two weeks, and I genuinely loved using it myself.

How to Use AI in App Development

Here’s how I personally used AI tools to speed up development:

  1. Boilerplate & scaffolding

    • Ask AI: “Write a React Native screen template for a daily quiz with multiple-choice answers.”
    • AI gives you the starting code; you just adjust styles and logic.

  2. Backend & database queries

    • Example: “Generate a Supabase query to fetch user answers and calculate correct rate per day.”
    • AI produces ready-to-use code snippets that save debugging time.

  3. Refactoring & optimization

    • Prompt AI: “Refactor this function to be cleaner and more efficient”
    • Works surprisingly well for repetitive utility functions.

  4. Documentation & instructions

    • AI can generate README, setup instructions, or code comments instantly.

  5. Troubleshooting

    • Explain your error message to AI and ask for debugging tips — often faster than Google searches.

Key Takeaways

  • Launch small and fast — perfection can wait.
  • Don’t fear paid third-party services — they often save more time than they cost.
  • Use AI to accelerate development, reduce frustration, and stay creative.
  • Focus on core functionality and release early — the app you love using is already a success.

If you want to explore mindful decision-making in daily life, you can check out my app here: Choose Like Buddha

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