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My services

AI agent integration

I integrate coding agents into your repositories. Harness engineering defines their instructions, permissions and the checks your team can rerun.

The method

From pilot to team ownership

The pilot tests a new way of working on a real task. Agents carry out the agreed steps, and the team designs the checks and keeps control of decisions.

Workshop sketch
Pencil sketch. At left, a person prepares the task at a desk. In the middle, small agents work with machines and tools. At right, a station inspects the results and a pipe loops back to the workshop.
  1. Choose a pilot

    We start with a task in your repository. We agree on what the agent may change and who approves the result.

  2. Configure and test

    We set up instructions, tools and access. We deliberately go outside the agreed scope to check that the safeguard stops the change.

  3. Rerun and hand over

    Your team reruns the checks and decides what to accept, adjust or stop.

If a check fails, we adjust the harness, then rerun the scenario.

In an anonymised delivery case, a local replay with 264 synthetic IDs showed the SQL query going from 530 joins to 3. An expiry test checks that the access rule holds as time advances. Read the delivery case (in French)

What your team can do on its own

Update instructions and access permissions, rerun the verification scenarios and decide what to do when a check fails.

Discuss an integration

What we can work on

Agent foundations & quality

I build and evaluate harnesses: context, instructions, tools, permissions, tests and execution traces. I work directly in the repositories.

Deliverable

A maintained agent environment, evaluation cases and a handover prepared with the person taking ownership internally. Before I leave, we review the handover together: they need to be able to identify the next action and know who to contact if they get blocked.

Pilots & scaling

I establish a baseline, run a bounded pilot and review the results with the team. Training and mentoring support adoption.

Deliverable

A pilot assessment, adoption playbook and a decision to extend, revise or stop.

Governance & traceability

I define permissions, accountability, exceptions and review practices with engineering, security and leadership.

Deliverable

Usable policies, decision records and checks that fit daily work.

Context your team can maintain

Context engineering starts with a task in a repository. We choose the sources and instructions the agent needs, where the team maintains them and how to catch a stale reference.

I built ctxharness to check facts in files that agents read, such as paths and scripts. In your team, we decide which instructions to check, when to run the checks and who fixes a failure.

Explore ctxharness

Frequently asked questions

What is an agent harness?

It is the environment the agent works in. It brings together the context, authorised tools, permissions and checks that let your team verify its output.

What does the team keep after the engagement?

The tested configuration, verification scenarios and handover instructions. We review them with the person taking ownership.

Discuss an integration