It's almost a universal law of modern development: if someone starts tinkering with a new technology, an AI framework, or an autonomous agent, the first thing they build is a To-Do List.

It doesn't matter that we have the power to process petabytes of data or generate 3D worlds in seconds; our first reaction is: "Hey, could you remind me to buy milk and call my mom?".

Why does this happen? Does the world really need more task apps? Or is there something deeper in our relationship with productivity and technology?

1. The perfect "Hello World" for state management

Technically, a task list is the perfect CRUD (Create, Read, Update, Delete) example. It has everything you need to test if a technology works:

• Input: Adding a task.
• Persistence: Ensuring it doesn't disappear on refresh.
• State change: Marking it as completed.
• Filtering: Seeing pending tasks.

It's simple enough not to get lost in business logic, but complete enough to see if the AI can maintain context in a real application.

2. The real problem: The fiction of productivity

This is where we get into the psychological aspect. The problem isn't that there aren't enough To-Do list apps (there are thousands, and very good ones). The real problem is that making the list gives us the dopamine hit of having done the work, without having moved a single finger.

When we use AI to build our own task tool, we're doubling down on that fiction:

• We're not just planning what to do.
• We're creating the system that will tell us what to do.

It's a form of elite productive procrastination. We think: "I'm not working today, but my AI-powered task management system is going to be so efficient that I'll make up for it tomorrow". Spoiler: Tomorrow you'll be adding dark mode.

3. Missing features or missing focus?

Many start these projects because they feel current apps are missing "something". That something is usually the promise of total automation.

• "I want the AI to prioritize my tasks by real importance".
• "I want it to know when I'm tired and assign me easy tasks".

We're looking for a magic feature that solves the fact that, quite simply, some tasks are just things we don't want to do. No AI can cure a lack of willpower, even if it dresses it up with a beautiful Neumorphism interface.

4. The final destination: The code cemetery

What happens to these projects? Most are abandoned within 48 hours.

Once the AI has generated the code, the list appears on the screen, and you can mark a task as "Done," the magic disappears. You realize the tool is still just that—a tool—and the to-do list is still there, staring at you, waiting for you (and not the AI agent) to get to work.

Conclusion

Building a To-Do list with AI is a necessary rite of passage. It's how we tame technology and bring it down to earth. But once overcome, the real challenge isn't how AI helps us list what we have to do, but how it helps us stop listing and start executing.

And you, how many To-Do lists do you have in your /pending-projects folder?