Eight Minutes

When I was at the Small Data 2025 conference, one of the speakers was talking about their work with AI technologies. This person uses it a lot in their day job, often to complete tasks that they would have struggled to work on in the past, mostly because of time constraints, but also a lack of resources. Sometimes this person has an idea, but doesn’t want to distract themselves or others by having them work on a side project.

During a recent ride in a Waymo (self-driving car), this person had their laptop out and running Claude Code. They gave it a prompt, asking it to build a small app for some data analysis. During the 8-minute ride, the agent had spit out the code, a Readme, and committed this to a git repo. Later, the speaker tried it and found it solved most of his requirements, and then did some other work on the project, as well as having Claude write more code to get something that was beyond a minimally viable app.

He then gave us this William Gibson quote: “The future is already here — it’s just not very evenly distributed.” I’ve thought about this quote a lot during the last few decades, especially as mobile phones and apps have become prominent. In Colorado, the bandwidth and connectivity have lagged behind other places. When I get frustrated with the mobile network, I want someone to put a copy of that quote above every developer’s desk at Google, Microsoft, Meta, etc. so they realize the way things work in Silicon Valley isn’t how they work elsewhere.

I’ve been feeling that way about AI tech lately. It’s the future, and it’s not well distributed. There are some successes out there, among lots of failures, but I suspect that some of this is that we’re all working with unevenly distributed models, knowledge, and problems. Some of us are learning to use things better than others.

So I’m wondering, what do you think you could do in 8 minutes with a coding agent? Take a Waymo if you want, but you might be more comfortable with Claude Code (or another agent) at your desk. Take a problem you’ve been working on and give it to the AI agent. See what happens. Maybe even tackle a side project you can’t seem to find time on which to work and see what happens.

As I started this, I actually kicked off Claude Code and asked it to load some data from messy files into a database. Across a couple of days (I started late one afternoon), I estimate I spent 10 minutes approving actions, but for less than $5, I had a lot of data loaded (88 files) and the code to do it committed in a repo. With very little effort from me.

Think about what you could do in a few minutes with an agent. You might get something useful, with little effort or cost. It probably would not be a production-ready app, but it would be something to test an idea, or maybe some code that might inspire others to tackle some of their own backlog.

What do you want an agent to help you build?

Steve Jones

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