Why I built Twira · Chris Middlebrook, Founder.

Picture someone digging a foundation. That’s the AI. They’re capable. Hand them a shovel and they’ll get the job done. Train them up, make them sharper, and they dig faster and cleaner.

But hand that same person an excavator. Same skill, same intelligence, plus a few small instructions. And they do more work, faster, and more accurately.

The tool matters.

Or take setting out the foundation.

You can measure in feet and yards, the way the Romans did. You can use a tape measure. Or you can set a total station on a tripod and survey the site to the millimetre.

Same person each time. Very different precision.

That’s what Twira is.

The AI is the operator. A good one. And getting better all the time.

Twira is the PowerTool beneath it. The excavator. The total station. Built for the work the AI is trying to do.

And because it’s working on your code, your project, your machine, some of those tools have to live locally too. Right next to the work itself.

I work in both construction and software development, so I kept seeing the same pattern in both worlds.

The intelligence of the operator matters. These models are genuinely good now, and they’re getting better fast. I build with Claude Code, Codex, Gemini and xAI every day, and the gap between what they could do last year and this year is huge.

But the quality of the tool in their hand still changes everything. The better the operator, the more the right tool gives back. That’s as true for AI as it is for anyone using an excavator.

Developing with AI was already faster than building everything by hand. But day to day, it didn’t always feel faster.

I was spending more and more time getting agents pointed at the right information, then checking by hand what came back. Pass after pass.

And it wasn’t because the AI wasn’t good enough. It was because it was working blind, without the instruments to see my codebase properly, or to show me exactly what it had touched. Brilliant operator, primitive tooling around it.

So that became the philosophy behind Twira:

build tools that give the AI a better view of the work, so it delivers better results. And so my time stays on the productive side of development.

Use AI for what it’s great at:

processing information, exploring problems, surfacing possibilities.

Then let the developer make the call.

At first the question was simple:

how do I get AI to write better code?

Then it became something bigger.

How do I give AI better ways to investigate problems, understand a codebase properly, and bring better answers back to me?

Not autonomy for its own sake. Collaboration. Me guiding it, directing it, working with it.

That second question is really what Twira became.

AI that brings you better answers to act on. You stay in the seat, deciding.

When people first hear about Twira, they try to fit it into a box they already know. Is it another model? Another coding assistant? It’s neither.

When I started building it in 2025, even the AI didn’t really know what something like this should look like. I’d ask how other people had solved these problems, what the best practices were, what the established patterns looked like. The answer kept coming back the same: there wasn’t one yet.

This whole layer around AI development (oversight, orchestration, tooling, control) is still being figured out in real time. So it’s no surprise Twira doesn’t slot neatly into a category that already exists.

What it is, put simply, is a PowerTool:

the set of tools sitting beneath the AI you already use, making it genuinely more capable of building software properly.

Better results. Better oversight. Better tooling. Better control.

And compliance too: understanding what your AI can see, what leaves your machine, what reaches the model provider, what gets recorded. And being able to prove it, instead of just assuming it.

Twira is built for developers working alongside AI every day.

Safely and properly. Better and faster.