I'm Not a Traditional Developer — Here's How I Built Real Websites with AI

I'm a self-learner who believes that technology should not be limited to people with formal programming backgrounds.

Over time, I've experimented with Python, SQL, BigQuery, Supabase, cloud platforms, cybersecurity, and AI tools. I've created dozens of websites and numerous GitHub repositories through independent learning.

My main project is DeTLeng, where I explore learning, data, and practical digital solutions.

But here's something interesting: knowing what you want to build is sometimes more important than knowing how to code it yourself.

Recently, I worked with AI to develop an inquiry system for DeTLeng Automation.

The goal was simple: a visitor describes repetitive manual work, submits a request, and receives an email confirmation. Our team receives the details automatically.

We investigated each issue, tested the changes, and kept improving.

Eventually, the email workflow and confirmation popup worked.

I still had to explain requirements, understand problems, review results, protect existing functionality, and decide what needed fixing.

AI helped with implementation. I remained responsible for the decisions.

You don't need to pretend to be an expert. You need curiosity, patience, clear communication, and the willingness to learn from mistakes.

Visit DeTLeng Automation and explore our Automation Desk.

If you have a real repetitive task, describe it through the form. You don't need technical terminology. Just explain what you do manually and what you wish could happen automatically.

The future of building software isn't only about who can write code. It's also about who can identify problems, ask better questions, and turn ideas into working solutions.

Keep learning. Keep experimenting. Keep building.

— A self-learner building with AI, one challenge at a time.