How AI Turned Me Into a 10x Engineer (But Only Because I Took Coding Seriously First)
I started vibe coding. You know, that late-night, coffee-fueled kind of flow where you follow a tutorial, tweak something, break it, fix it, break it again, and somehow end up learning more in 6 hours than you did in school. That’s how I got into software. No formal CS degree. Just curiosity, persistence, and a ton of browser tabs open at once. But early on, I made one of the best decisions I could’ve possibly made: I took the Codecademy Backend Engineer career path. At the time, I didn’t know how valuable it would become. It taught me how to: Think in systems, not scripts Write clean, modular code Build and document APIs properly Work with databases, authentication, and deployment Debug properly without copy-pasting Stack Overflow I got comfortable with the boring, powerful fundamentals that many skip when jumping straight into frontend frameworks. Then AI Happened. Suddenly, people were spinning up SaaS apps overnight with ChatGPT, Claude, Cursor and more. I’ll be honest — I was intimidated. But then I realized: this was a force multiplier for people who already had the basics down. Because I understood how to design and structure a backend, I could now: Use AI to accelerate my coding, not replace it Build production-ready APIs in a fraction of the time Deploy scalable server-side logic that passed government security reviews Ship programmatic SEO tools using real-time data pipelines Launch propertyinsights.io — my own SaaS product helping people make better property investment decisions AI Didn’t Make Me a Developer AI isn’t a substitute for understanding code — it’s a cheat code only if you know what you're doing. I’m glad I took time to learn backend development properly before AI tools got this powerful. So to anyone learning now: don’t skip the hard stuff. Learn how HTTP works. Understand why REST and GraphQL exist. Know your way around a database schema. Learn how to deploy a server and debug logs. It’s boring — until it isn’t. What’s Next? AI is now my copilot — but I’m still the pilot. I’m launching more tools, spinning up APIs, integrating with governments and private platforms, and experimenting with complex systems — all because I took the fundamentals seriously before ChatGPT became a household name. If you’re learning to code now, just know: the best time to learn was yesterday. The second-best time is today — and AI might just help you move 10x faster if you’ve got the right foundation.
I started vibe coding.
You know, that late-night, coffee-fueled kind of flow where you follow a tutorial, tweak something, break it, fix it, break it again, and somehow end up learning more in 6 hours than you did in school. That’s how I got into software. No formal CS degree. Just curiosity, persistence, and a ton of browser tabs open at once.
But early on, I made one of the best decisions I could’ve possibly made: I took the Codecademy Backend Engineer career path.
At the time, I didn’t know how valuable it would become. It taught me how to:
Think in systems, not scripts
Write clean, modular code
Build and document APIs properly
Work with databases, authentication, and deployment
Debug properly without copy-pasting Stack Overflow
I got comfortable with the boring, powerful fundamentals that many skip when jumping straight into frontend frameworks.
Then AI Happened.
Suddenly, people were spinning up SaaS apps overnight with ChatGPT, Claude, Cursor and more. I’ll be honest — I was intimidated. But then I realized: this was a force multiplier for people who already had the basics down.
Because I understood how to design and structure a backend, I could now:
- Use AI to accelerate my coding, not replace it
- Build production-ready APIs in a fraction of the time
- Deploy scalable server-side logic that passed government security reviews
- Ship programmatic SEO tools using real-time data pipelines
- Launch propertyinsights.io — my own SaaS product helping people make better property investment decisions
AI Didn’t Make Me a Developer
AI isn’t a substitute for understanding code — it’s a cheat code only if you know what you're doing. I’m glad I took time to learn backend development properly before AI tools got this powerful.
So to anyone learning now: don’t skip the hard stuff. Learn how HTTP works. Understand why REST and GraphQL exist. Know your way around a database schema. Learn how to deploy a server and debug logs. It’s boring — until it isn’t.
What’s Next?
AI is now my copilot — but I’m still the pilot. I’m launching more tools, spinning up APIs, integrating with governments and private platforms, and experimenting with complex systems — all because I took the fundamentals seriously before ChatGPT became a household name.
If you’re learning to code now, just know: the best time to learn was yesterday. The second-best time is today — and AI might just help you move 10x faster if you’ve got the right foundation.
