AI-Augmented Development

Our process hasn't changed, but what people bring to the first meeting has changed completely.

Tell us what you have

Deep Fork developer building an application
Designer building an interactive app prototype
Developer reviewing application code

What's changed since 2019.

In 2019, getting an app built meant starting from a whiteboard: mockups, a quick brand, user flows mapped by hand, a scope, and then development. A mid-size product could easily run $200,000 by the time it launched.

Now people come to us with a designed front end, a finished brand, and much of the product already built with AI. Sometimes the whole thing is built and they just don't trust it yet.

Wireframes sketched by hand during a discovery phase

Where Projects Start

Three ways people come to us now

Fixing is often cheaper than starting over.

We recently quoted an audit and backend rebuild for a large platform the client had built themselves with AI. It came in at roughly half the cost of building the same platform from scratch, and that kind of project didn't exist a few years ago.

Tell us what you've built

Developer working through a client's existing codebase

How We Use AI

Faster where it helps, people where it matters

We still follow the same process: discovery, a clear definition of what we're building, then development. What AI changes is how quickly we move through each of those steps.

Discovery

Interactive prototypes

We use AI design tools to build prototypes that look and feel like your app, so you can click through it before development starts.

Development

Faster builds

Our developers use AI to write and check code faster, and they review and test everything themselves before it ships.

Your product

AI features

We build AI into client software: document processing, natural-language search, and assistants that work against your own data.

Where AI still needs people.

AI is good at producing code that works in a demo. It's less reliable on security, data handling, and architecture that holds up as you grow, so those are the parts we don't hand off to it.

Developers planning software architecture on a whiteboard

Frequently Asked Questions

Do you use AI?

Yes. We use it across our work, from prototypes to code, and we build AI features into the software we deliver.

How do you use AI?

In discovery, to build interactive prototypes quickly. In development, to write and check code faster. And inside client products, for things like document processing, natural-language search, and assistants that work against your own data.

Is AI safe to use in software development?

It is when experienced developers check the work. AI can write code that runs but has security holes or won't hold up as you grow. We review, test, and fix that before anything goes live.

Can I build an app myself with AI?

Kind of. You can get a working front end and a lot of the product built. Most people get stuck on the backend, security, and getting it ready for real users. That's usually when they call us.

Why hire developers if I can use AI?

Because the last part is the hard part. AI does a lot of the heavy lifting, but someone still has to make sure the product is secure, built correctly, and keeps working as it grows.

Tell Us What You Have

An idea, a prototype, or a product that's mostly built. We'll get back to you within one business day.

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