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Next live sessionThu, Nov 5 · 11 am ET · 8 am PT · 16:00 UKStarts soon

Turn your AI coding tools into faster, safer delivery.

Build your AI coding factory is a free, one-hour live workshop. A small feature goes from a written spec to a merged change in front of you: people and AI agents building it together, every change tested and reviewed before it ships, and the delivery numbers that prove it.

What you'll get

  • Where AI speeds up delivery, beyond the typing
  • The checks that stop unreviewed AI code from shipping
  • Your DORA numbers, before and after

11 am ET · 8 am PT · 16:00 UK · online, one hour, free

Save your seat

We'll email you the link and a calendar invite.

We spend a few hours with your engineering leads on how your team ships today and where a coding factory would change that first. Free, booked for a date that suits you.

Free. We use these details only for this workshop.

Teams we've built for

  • Santander
  • HSBC
  • JPMorgan Chase
  • Red Bull
  • Hyundai Glovis
  • Pixis
  • CarSaver
  • GORUCK
  • Gavel
  • Newton
  • Reven AI
  • Ryno
  • SolvPath
  • Sweet Analytics
  • Virgil
  • BT
  • Comic Relief

AWS Premier Tier Services Partner, one of about 300 among more than 130,000 AWS partners.

  • AWS AI Services Competency
  • AWS Migration and Modernization Competency
  • Amazon Connect Service Delivery
  • AWS DevOps Competency
  • AWS Data and Analytics Competency
  • AWS SaaS Competency

A coding factory changes how work moves from spec to production.

People write the spec and make the calls, while AI agents write the code and its tests. By the time anyone approves a merge, the gates have already checked the change, and the delivery numbers then show whether any of it helped.

We call the way we set this up the AK AI Factory. People and AI agents build the software together, every step has its check, and an AI agent's change goes live only once it has passed them.

What you'll take away from the hour

  • 01

    Faster where it counts

    We set up the specs, tests and reviews first, so the time AI agents save shows up in what ships and not only in how fast code gets typed.

  • 02

    Nothing ships unchecked

    Each change an AI agent writes has its tests run and an engineer's review before it goes live.

  • 03

    Proof in your numbers

    Deploy frequency, lead time and change failure rate, measured before and after.

What we measure, and what we change

Where your team is today, scored, so the first changes are the ones your numbers will show.

  1. 1

    Where you are

    Tools only, practices, or an operating model built around AI agents.

  2. 2

    The baseline

    Your DORA numbers (deploy frequency, lead time, change failure rate, recovery time) and the seven capabilities DORA found decide whether AI helps or hurts.

  3. 3

    The eight parts

    Knowledge, Workforce, Mission control, Paved road, Control plane, Verification, Operations and Learning, each scored.

  4. 4

    How changes are checked

    How AI-written changes are reviewed today, and where review becomes the bottleneck.

  5. 5

    What AI agents can reach

    Secrets, production and customer data, and what should stop them.

From that comes a maturity snapshot across the eight parts, the three changes that would show in your DORA numbers first, and the first workload to start on.

What we bring

The factory itself, and the tooling that keeps it safe.

  • AK AI Factory

    Our method for building with AI: people write the spec and make the calls, AI agents build and test, and gates check every change before a person approves it.

    Your factory, your repos, your numbers; nothing locked to us.

  • AK Evolve

    AI agents modernize your code inside tests and set boundaries: every pull request passes quality gates, and a person approves every production change.

    The orchestration layer, with its source, stays in your AWS account under your IAM.

One hour, run by the engineers who do the work

  1. See it

    The AK AI Factory building a small feature from a written spec: AI agents write the code, tests and gates check it, a person approves the merge, and the delivery numbers move.

  2. How it's set up

    The specs, the checks and who does what, people and AI agents.

  3. Your questions

    Bring your team's last quarter of delivery numbers.

The private workshop: a few hours with your engineering leads

How your team ships today, scored across the eight parts, and where a coding factory would change it first.

Who comes

The CTO or VP Engineering, two or three tech leads, the platform or DevOps lead, and the security lead.

What to bring

Last quarter's delivery numbers, or nothing, and we'll measure them together.

Your data

Delivery metrics and a description of how you work; no code is needed.

What you leave with

  • A maturity snapshot across the eight parts
  • The three changes that would show in your numbers first
  • The first workload to start on
Book a private workshop

What clients say about working with us

The report they produced … was stand out in terms of highlighting our key risks (many of which we weren't aware of) and identifying critical next steps.
CIO, a major UK news publisher
The automated testing has found bugs before they reach production, which saves us so much time and stress.
Owner, an equipment dealer software company
Armakuni exemplify best practice. Our team is more confident, more effective and more knowledgeable thanks to our engagement with them.
Head of Engineering, a creative community platform
  • Under 0.25%of AWS partners are Premier Tier. We're one of about 300.
  • 500+AWS customer launches
  • 1,300+engineers across the UK, US, UAE, India and Canada
  • 70%of the proofs of concept we scope reach production

Before you sign up

Is it free?

Yes. Bring last quarter's delivery numbers, or nothing; the session costs you nothing either way.

Is this a pitch for more AI tools?

No new tools are needed. If your numbers point at review, testing or release, that's where the advice goes.

Do we have to change our AI coding tools?

Usually not. The factory is the way the work flows around them: specs, checks, gates and who approves.

Is AI-written code safe to ship?

Yes, once it has been through the same checks as anyone else's code: its tests run, and an engineer reviews it before it goes live.

What happens after?

The first workload with our engineers inside your team, measured on your delivery numbers.

Build your AI coding factory

Thursday, November 5, 11 am ET · 8 am PT · 16:00 UK. Starts soon.

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