"Por qué 'Tengo TDAH' es el repositorio que todo desarrollador necesita clonar
When AI Won't Shut Up: The Project That Finally Fixes Your Coding Assistant
We've all been there.
You ask a simple question. You wait. And wait. And suddenly you're reading a four-paragraph essay about something you already understood—complete with the AI kindly "rephrasing your question back to you" like you're five years old.
Then, buried somewhere in paragraph six, you finally find it: a three-line piece of code.
Sound familiar?
That's the exact problem driving the i-have-adhd project. This GitHub repo offers a "skill" that basically tells your AI assistant to stop waffling and get to the point.
The Problem Nobody Talks About
Today's AI tools love to over-explain. A little context is fine. Thoroughness has value. But there's a difference between being helpful and writing paragraphs nobody asked for.
For developers with ADHD, this isn't just mildly annoying—it's a productivity killer. Wading through irrelevant information to find the one thing you need? That derails your entire focus. A thirty-second question becomes a five-minute scavenger hunt.
But here's the thing: this isn't exclusively an ADHD issue.
Every developer knows this pain. You're deep in debugging mode, head-down, need one specific answer right now. You don't need a lecture. You need code.
What This Project Actually Does
The i-have-adhd skill essentially puts your AI into "get-to-the-point" mode:
- Lead with the answer — Solution comes first, not last
- Skip the pleasantries — No more "Sure thing!" or "Here's how..."
- Explain only what's necessary — Only dive into the why if the what isn't obvious
- Front-load the actionable stuff — Code and commands where you can see them
It's like a turbo button for your AI assistant.
Why This Signals Something Bigger
As AI becomes woven into how we build software, the relationship needs to flip. Right now, we're adapting to how AI communicates. That's backwards.
Verbose AI output became standard because early models needed to prove their worth. Show everything, demonstrate capability. But now? User experience should come first.
Projects like this point toward an important shift: AI needs to match how humans think, not force humans to tolerate how AI talks.
Expect more of this. Productivity modes, focus settings, context-aware responses that shift based on what you actually need in the moment.
The Real Takeaway
There's something bold about calling a tool "I Have ADHD."
It reframes a cognitive difference from a limitation into a feature request. "My brain works differently. My tools should adapt."
That's the right way to think about it.
Developers don't need fixing. Tools need flexibility—to meet you where you are, whether that's quick hits or deep explorations.
Next time you're stuck waiting for an AI to finish its TED talk before giving you the answer... maybe someone's already built the solution. And if not? Someone's probably working on it right now.
Go check out the project on GitHub. One simple prompt tweak might be all that stands between you and a frustration-free coding assistant.