AI-Enabled Developers
Developers who use AI tools, and know when not to
Developers who build with AI — under your rules.
AI coding tools can make a good developer faster. They can also send your code to a model you never approved, introduce security flaws that look like working code, or ship changes nobody really reviewed. Our developers use AI tools every day — and treat everything they produce as a first draft that has to earn its way into your codebase.
AI on your codebase
Your policy comes first
- Only the AI tools your policy approves
- Every AI suggestion reviewed before commit
- Your normal code review, unchanged
- Nothing ships because a tool suggested it
- Your code, however it was written
Safeguards
How we keep AI-assisted code safe
Review before commit.
The engineer reviews every AI suggestion before it’s committed, then it goes through your normal code review.
AI tools
How our engineers use AI tools
Under your rules.
Engineers use only the AI tools your policy approves. If your policy doesn’t allow AI tools on your codebase, they don’t use them.
Human review, every time.
Every AI-assisted change is checked by the engineer who made it and goes through your normal code review. Nothing ships because a tool suggested it.
Ownership.
Code produced for you is yours, however it was written.
Stacks
What our developers work on
An AI-assisted development team needs engineers who can review AI code, not just generate it.
Full-stack development
React, Angular and Node.js applications, front end to API.
.NET development
C#, ASP.NET Core and enterprise application work.
Java development
Spring Boot, microservices and backend systems.
How it works
From request to working developer
- 1Tell us the role, stack and your AI tool policy.
- 2Review profiles.
- 3Interview the developers yourself. You choose who joins.
- 4Onboard. They work in your tools, your standups and your process.
- 5We manage the rest — employment, payroll and equipment.
FAQ
AI-enabled developer questions
Something we haven’t covered? Tell us the role, the stack and your AI tool policy, and ask us directly.
Tell us the role you need →What makes an “AI-enabled” developer different from any other developer?
Two things. They use AI coding tools fluently on real codebases rather than on tutorials, and they can tell you when an AI suggestion is wrong. The second matters more. An engineer who accepts whatever the tool produces is a liability on a codebase you have to maintain.
Can your engineers review AI-generated code written by my team?
Yes, and several of our engagements involve exactly that. Reviewing AI-assisted code well needs the same judgment as writing it: knowing the codebase conventions, the security requirements and what the change is actually supposed to do.
Do they work under my AI policy or yours?
Yours, wherever you have one. We will read it before the engagement starts and tell you if any part of it conflicts with how we work. Where you have none, ours applies and is published.
Will AI tools be used on our codebase without us knowing?
No. The tools in use are agreed before the engagement starts and named in the statement of work. If that list changes we tell you before it changes, not afterwards.
Are these different people from your normal developers?
No. This is how all of our engineers work. We do not keep an AI-enabled tier and a cheaper tier that works some other way.
Tell us the developers you need
Hire developers who use AI tools and stand behind what they ship. Share the role, the stack and your AI tool policy — we’ll tell you honestly whether we have the right people.