Advanced TODO App using Google AI Studio

This post is my submission for DEV Education Track: Build Apps with Google AI Studio.

What I Built

I built Zenith Tasks, an advanced to-do list application designed for comprehensive task management. It allows users to perform full CRUD operations on tasks, track time spent using a built-in timer, assign priorities (High, Medium, Low), and add details like estimated time and descriptions. A key feature is the productivity analysis dashboard, which provides insights and graphs to visualize progress and compare estimated versus actual time spent on completed tasks.

Demo

Here are some screenshots of the Zenith Tasks app in action:

My Experience

My key takeaway from this experience is how effectively an AI assistant can be used for rapid, iterative development. We started with a high-level prompt for a "complex todo list app," and the initial result was a surprisingly robust foundation with full CRUD functionality, state management, a timer, and even an analytics view.

From there, the process felt like a partnership. I could request specific, high-level features like a "priority system," and the AI would not only add the functionality but also implement the necessary UI changes, such as visual indicators and sorting controls. This iterative loop allowed for quick enhancements without getting bogged down in boilerplate code.

The process also involved practical debugging. When we discovered the delete button wasn't working, we diagnosed the issue together. The AI correctly identified that a window.confirm call was being blocked in the sandboxed environment and removed it, which was a great real-world lesson. We also focused on fine-tuning the UI/UX by adding an "Add Task" button to empty columns and improving responsiveness across all screen sizes.

It was surprising how quickly a polished and feature-rich application could come together. The AI handled the complex state logic, component structure, and even the integration of a charting library, allowing me to focus purely on the desired functionality and user experience. This project demonstrates that building a sophisticated, well-designed web application is more accessible than ever.