Madalin Development enhanced by AI

From Manual Code to AI Team Lead

Unlock AI's full potential! Discover how one developer went from manual coding to managing an AI team, revolutionizing app development.

A group of 3 robots like women, around sitting down, connected with wires to a Mac mini on a wood desk, a man dressed casual, green t-shirt, short jeans on the other side in front of the apple display, doing a video call with a group of people visible on the screen; surrounded by nature, trees, sea in short distance. Cartoonish style, flat, 2d, vivid natural colors.

I’ve always been the kind of person who learns by doing. Instead of falling asleep in front of a video course, I want to get my hands dirty and play with the tech. Being over 40, I come from an era of reading thick programming books, which gave me a strong foundation in critical thinking—something you definitely shouldn’t skip when starting out. But over the last few months, my entire workflow has been flipped upside down. I went from writing everything manually to managing a full team of virtual AI employees, and I’ve realized that combining direct AI providers is the ultimate cheat code for building and maintaining apps.

From Junior Assistant to “Vibe Coding”

My AI journey started early last year with GitHub Copilot in Visual Studio Code. I was still writing the core code and setting up the frameworks, but suddenly, building proofs of concept and hitting MVP status was incredibly fast. However, the honeymoon phase didn’t last long. The output felt too much like “machine-generated code,” and I found myself babysitting the AI through every small step, fixing about 30-40% of what it wrote. It felt less like working with a genius AI and more like managing an eager but inexperienced junior developer.

Then, I discovered the Claude Code CLI. I’m a massive terminal geek (and yes, nano is my editor of choice—sorry, Vim lovers!), so this was right up my alley. The shift was mind-blowing. Suddenly, I wasn’t just coding; I was “vibe coding.” I had become a project manager directing a solid mid-level developer, and within a few weeks, almost everything I wanted to build was being fully constructed by Claude.

Assembling the Virtual Dream Team

But why stop at one AI? As Gemini and Codex evolved, I brought them into the mix. I even had Claude spin up a custom Ubuntu VM tailored exactly to my preferences. Just like that, I had a new business setup: me and three virtual employees I affectionately named Claudia, Geanina, and Agapita. I quickly learned through client work and personal projects that each AI has its own distinct superpowers and weaknesses.

Claude is the undisputed king of coding—generating clean, human-readable, beautifully commented logic. But as a codebase grows and ages, Claude can sometimes lose context. That’s exactly where Gemini steps in. Gemini is my go-to for code reviews on massive projects thanks to its enormous context window. It’s also phenomenal at project planning, brainstorming, finding weak points, and setting feature priorities. I actually use Gemini to map out the initial project, and then hand that plan over to Claude, who happily accepts the suggestions and turns them into the best CLAUDE.md file you’ll ever see.

As for Codex, I honestly avoided it for a while. It used to be too hit-or-miss for my liking. But with the release of the GPT-5.3-codex model, everything changed. It went from randomly failing to being an absolute powerhouse, and I am genuinely looking forward to seeing what a massive 1-million token context window looks like in play.

The Unbeatable ROI of Going “Max”

Of course, assembling an AI dream team comes with a cost. In the beginning, I tried to be frugal. I stuck to the basic, cheap subscriptions, nervously watching my API token limits and dreading the expensive overages. But one day, while drowning in client work, I just needed to get things done. I bit the bullet and upgraded to the Claude MAX tier.

Everything changed instantly. It felt like I had taken steroids and chugged four Red Bulls in under an hour. I fired up multiple tmux windows in my VM, running Claude, Gemini, and Codex in parallel across different projects. Giving them specs and watching them build simultaneously meant I never hit a bottleneck or got locked out by a 5-hour usage limit. All my tasks got delivered, my clients were thrilled, and I got my time back.

If you’re building apps today, don’t limit yourself to just one tool. The higher-tier subscriptions might seem pricey at first glance, but the return on investment when you combine these AI powerhouses is simply unmatched. I haven’t looked back since.