Our services.

In most teams one person gets far more out of AI than the rest. And once code gets written faster, the work waits somewhere else: in review, in testing, in product decisions. Our services cover that whole chain, cut small so you buy only the part you need. You can start anywhere, every engagement has a fixed fee, and you keep everything we deliver.

Workshops

Workshops are live sessions with your team.

  • AI Adoption Workshop

    This short, intense session gets your team to work with AI more and brings everyone up to the current best practices.

  • Mastering Claude Code

    This workshop teaches your developers to work with Claude Code in depth, from planning a task to running several agents at once.

  • Mastering Codex

    This workshop teaches your developers to hand whole tasks to Codex and to own what comes back.

Implementation

We start with one squad in your own repository and build together with your engineers. That squad is the pilot: either the setup spreads from there on its own, or you book the services that help the rest of your team adopt it. We run this kind of setup on our own work every day and show it to you on the first call.

  • Harness Engineering

    We build your harness: shared context and skills for your projects in one central repository, so every engineer's agent works from the same setup.

  • Code Review Pipelines

    Agents review every pull request before a person does, so your reviewers start with the routine problems already found.

  • Quality Assurance Pipelines

    Faster development means more to test, so this pipeline gets every code change ready for your testers.

  • Requirements Pipelines

    This pipeline helps your product people turn a rough request into a task that is ready to build, with a first estimate of how big it is.

  • Software Factory

    We move your agents and your harness from laptops to your own servers, so your company owns the whole pipeline.

  • Context and Skill Maintenance

    The context and skills your agents work from collect clutter as your code and the models change, so we review them regularly and clear it out.

Consulting

We sit down with the people who do the work and make the decisions in the room. The written plan you keep names the first change and who owns it.

  • The Path

    If you want the whole change but do not know what comes first, we plan it with you and walk your team through it step by step.

  • New Agile Workflows

    We work out with your team what agentic engineering means for your agile process, now that writing code is no longer the slow part.

  • Roles and Team Design

    When your developers spend less time writing code, we help you and your team decide where that time is best used.

  • AI for Product, QA and DevOps

    Agents change the work of product managers, testers and DevOps engineers too, and we help you decide what to do in each role.

  • AI KPIs

    We help you decide what to measure in AI-assisted development, so you have an answer when your board asks what AI changed.

The nine steps, in their typical order

Most teams have done some of these steps already. We start where your team needs it most, and you choose each next step.

  1. 1

    Start with agentic engineering

  2. 2

    Master the tools

  3. 3

    Put shared context and skills in one central repository

  4. 4

    Help the whole team work this way

  5. 5

    Introduce agentic code review

  6. 6

    Introduce agentic application testing

  7. 7

    Introduce agentic product management

  8. 8

    Update the agile process to the new capacity

  9. 9

    Move the agents from laptops to your own servers, with central configuration and metrics

Pick a service, book a call, we scope it together.

Book a call