Beyond AI coding: Building an engineering team in a box
We’re building Capybari because we believe AI has changed software development, but we’re still missing the bigger picture.
AI can write code remarkably well today. But real software needs much more — understanding the existing codebase, planning, fixing bugs, adding features, reviewing, testing, deploying, and continuously maintaining it.
That’s why we’re building Capy — Your Engineering Team in a Box. Capy can take over an existing software project, build the context it needs, and handle engineering tasks from implementation through testing and deployment.
We’re looking for a small group of software founders to help us put Capy through its paces with real-world projects.
If you have an existing software product that needs bugs fixed or new features, but don’t have developers available to work on it, reach out to us. We’d be glad to lend a hand and see if Capy can help solve the problem.
The interesting test seems less about whether Capy can write the code and more about how much responsibility founders are actually comfortable handing it.
Curious where that boundary appears first in real projects.
I completely agree. I actually think that’s one of the most important things we’re trying to learn with the first users.
The interesting part isn’t whether AI can write the code anymore — it clearly can. It’s how far people are comfortable letting it go: fixing bugs, making architectural decisions, deploying changes, etc.
That boundary will probably be different depending on the project and the risk involved. We’re hoping real-world usage will tell us where it actually sits.