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As an Independent Developer, My Thoughts and Growth Empowered by AI

Hey everyone 👋

I wanted to share a few thoughts after spending the past few months building my first real product with AI tools.

I’m an independent developer, originally trained in software engineering. Unlike some who’ve stayed focused on deep technical research, I’ve jumped around a lot of different projects over the years. That variety is what gave me the confidence to finally build something on my own — and AI has been a total game-changer for that.

This time around, with the help of AI tools, I built ImgUpscaleAI, a simple tool for upscaling and restoring images. Working on it has made me reflect a lot on how AI is changing what it means to develop software.


AI as a new layer in how we talk to machines

Looking back, I’ve worked with so many languages: assembly, C, C++, Java, C#, Python, PHP, JS… and now, AI.

It made me realize something obvious: programming languages have always been just different ways for humans to talk to machines.

  • Machine code was raw and unreadable
  • Assembly added basic readability, but still tied directly to hardware
  • C/C++ gave us abstraction while keeping performance
  • Higher-level languages like Python/JS made development faster, trading some performance for ease

Now, with AI coding tools, we’re moving even closer to natural language. I just describe what I want, and it writes the code. The end result is still standard, performant code — but the way I got there feels like a new step in that same evolution.

The catch? You still need to learn how to "speak" to AI effectively, just like you had to learn the rules of any language. It’s a new kind of syntax, but the core skill hasn’t changed.


The core skill is still the same: thinking clearly

Learning C and C++ made it easy to pick up other languages later. The syntax was different, but the core — turning ideas into logical steps the machine can follow — was the same.

Even with AI, that hasn’t changed. AI can write code, but it can’t tell you what to build, why to build it, or how to solve real user problems. That part is still on us.

For me, AI even filled in a big gap: I was never great at writing clean, good-looking UI code. AI helped me generate it, and when bugs came up, I learned to read and fix it myself. It didn’t replace me — it gave me room to grow.


Instead of worrying about being replaced, I’m focusing on what I can build

I know a lot of people feel anxious about AI taking jobs. I get it. But for me, it’s felt more like an opportunity to reimagine what I can do.

Instead of spending all day writing boilerplate code, I get to focus on the bigger picture: what problems am I solving, who am I solving them for, and how can I make this product better?

AI didn’t replace me — it let me act more like a founder than just a coder.

I don’t know exactly where this is all heading, but I’m choosing not to stress too much about it. Instead, I’m using AI to keep learning, building, and trying new things.

If you’re also using AI to build something, I’d love to hear how it’s changed your process.

on April 26, 2026
  1. 1

    Really enjoyed this perspective. The idea that AI is another layer between humans and machines makes a lot of sense. I also agree that the ability to think clearly and understand what you’re actually trying to build is becoming even more important. AI can speed up the coding, but knowing what to build, why it matters, and how to improve it still comes from the developer. It’s exciting to see how much more independent developers can build with these tools now.

  2. 1

    I like the perspective that AI is another layer of abstraction rather than a replacement for developers. The real differentiator is still problem-solving and system thinking. That's also what companies like GeekyAnts emphasize when building AI-powered products. AI accelerates delivery, but engineering expertise is what turns ideas into scalable, production-ready solutions.