wilson marasigan

It felt less like using a tool and more like pairing with a superhuman intern who had read every programming book ever written and remembered every mistake anyone had ever made, so it wouldn't make them again. We were a team. I brought the messy, human vision—"This button should feel more satisfying to tap!"—and it handled the impossible complexity of making that feeling a reality.

When we finally had a working prototype, it wasn't some rickety first draft. It was solid. It was, frankly, better than anything I could have built alone in a month. I just sat back and stared at the screen. The idea in my head, the one that felt so distant just a few hours ago, was right there, running on my phone. One idea that leads to thousand more ideas.

The app itself is cool, I guess. But that process… that was the real breakthrough. It wasn't about the code. It was about getting my time and my creativity back. It was about remembering why I loved this work in the first place, before I got buried in the grind. For the first time in a long time, building something felt like play again.

It never just dumped the code, it lets you get the code closer to you by talking with you and confirming the correctness of the task. It is one of the best apps out there.

The web preview needs to be there, I want to have a preview what I asked the app to do.

This question can be answered by the following:

1. It Felt Like a True Partner, Not Just a Tool

2. It Solved the Right Problem: Developer Burnout

3. The Safeguards Built Confidence

4. It Respected and Amplified My Own Expertise

In human terms: It's like the librarian not only instantly finds the book with the definition, but also flips open every other book that mentions it and puts a bookmark in each one. This feels like magic. It's incredibly accurate for these direct, literal searches and gives you a perfect, 10/10 answer.

• It's highly transparent for its immediate, step-by-step coding decisions (e.g., "I'm using a map function here because we're transforming an array").

• It's moderately transparent for higher-level architectural choices, often explaining its plan in human words before writing code.

• It's least transparent about its own fundamental training data and the billions of subtle patterns that form its "intuition." You can't ask it, "Why did the model you were trained on learn that this was the best way to structure a React component?"

This is the most fundamental protection. The AI agent, in its basic configuration, has no ability to change anything on its own. It's like a consultant who can look at your blueprints, make suggestions, and even draft new plans, but can't pick up a single hammer.

The AI will say, "I can refactor this calculatePrice function for better clarity. I will show you a preview of the changes." It then shows you a diff view—a side-by-side comparison with the old code in red and the new code in green. You get to review every single change, line by line.