AI coding rollout

A shared way for the team
to use coding agents

AI coding rollout is for an engineering team that already uses coding agents, or is about to. For one repo we leave repo context files, agent skills, security boundaries, continuous integration and evaluation gates, and training. You own the files. Another repo is a later order.

One repoScope

You own the filesOwnership

Contact usPricing

The facts

At a glance.

Who it is for: An engineering team that already uses coding agents, or is about to.
Length: One repo. A wider rollout is a later order.
What you get: Repo context files, agent skills, security boundaries, continuous integration and evaluation gates, and training.
What happens after: You own the files. Another repo is a later fixed-price order.
Pricing: Contact us for pricing.

One repo

Tell us which repo to start with

We read how you review and release, then price a fixed rollout for that repo. A wider rollout is a separate order.

A developer at a laptop with code on screen

The rollout

What we put in the repo.

Files and gates your team keeps. Not a tool you rent from us.

Repo context files

How this repo is built, how a change is reviewed, and what the agent must not do.

Agent skills

Repeated tasks written down so the agent does them the way the team already does.

Security boundaries

What the agent may read, which tools it may call, and what stays out of the prompt.

Continuous integration and evaluation gates

Generated code meets the same checks as any other change. Where the change is an AI behavior, the evaluation set has to pass.

Team training

The people who review the code, on the setup they will own. We leave when the team can change it without us.

How it works

One repo, then the next if you want it

We start where the team already feels the mess. Usually one repo.

Read how you ship

Review, continuous integration, secrets and what is allowed to leave the building. The price covers that repo, and you see it before we start.

Context, skills and boundaries

The files land in the repo. They follow your review, like any other change.

Gates, then the team

Continuous integration and evaluation gates, then training with the people who will live with it. Another repo is a later fixed-price order.

You own
the files.

Context, skills and gates stay in your repo.

What you leave with

We run this ourselves.

The rollout is the engineering setup we already use, written so another team can run it. The wider company uses agents in sales and recruiting, on our own portal.

Our engineering work

Repo context, skills and continuous integration gates are how our own engineers work. We do not ask you to adopt a setup we do not use.

Sales and recruiting

Those teams have agents in the loop as well, with the same idea: permissions, a log, and a person when the step needs one.

Our portal

The company runs on our own portal. That is the operating picture the coding setup sits inside.

Standards the team can keep

Ad-hoc use does not survive review.

Ad-hoc use of coding agents does not survive contact with review, secrets and onboarding.

You own the files

Context, skills and gates stay in your repo. We do not lock you to one vendor.

Security is part of the rollout

Boundaries are written down with the setup, not added after someone pastes a secret into a prompt.

Evaluations from the start where it is AI behavior

An evaluation set and a continuous integration gate ship with the rollout when the change under test is an AI behavior, not only a lint rule.

A person in the team, or a system to ship

Where this sits with the rest.

The rollout is the team's setup. The other offers are a senior in the team, or one product system to put into production.

Consulting

Forward-deployed engineers

A senior in your team while the setup lands, or for the product work around it.

AI production sprint

When you need one search-and-answer system or agent in the product, not a coding setup.

Managed AI operations

Monthly care once a system is live. The retainer keeps it healthy. Features are change orders.

Platform Partner

When the codebase is an app, portal or connected product that needs an owner, not only a coding setup.

Private model / fine-tuning

An open model tuned on your own data, run where your data must stay, and only if an evaluation says the hosted model falls short.

All AI packages

Sprint, Managed AI operations, AI coding rollout and Private model / fine-tuning, side by side.

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Questions

Common questions.

Short answers on scope and ownership.

Which coding tools do you set up?

The ones your team will actually use. The delivery is files and gates in your repo, so you are not locked to a vendor we picked.

Is this a license or a workshop?

Neither. It is engineering and training. You own the files. We do not leave you with a slide and a tool login.

What does it cost?

A fixed price before we start, for one repo. A wider rollout, more repos, or deeper gates are scoped separately, still at a fixed price. Contact us for pricing.

How is this different from sending us a consultant?

A consultant on the consulting page joins your team and ships product work. This rollout leaves a setup the whole team uses. Teams often want both: someone in the team, and the standard written down.

What about secrets and customer data?

The boundary is part of the rollout: what the agent may read, what it may call, and what must never enter a prompt. Data stays in your environment.

Ready to talk?

Bring the repo and the review rules

We will say straight if you need a rollout, a person in the team, or both.