AI coding expertise
From “we tried Copilot” to AI that ships real work.
Most teams have the tools and little to show for it. The difference is in the setup, and that is what I do.
When companies call me
- 01Developers have AI tools, but output has not really changed.
- 02The agent writes code that ignores how your codebase works.
- 03Nobody is sure what the agent is allowed to touch.
- 04Results vary wildly from one developer to the next.
- 05Management wants to know whether it is paying off.
What I do
Setup in your repositories
Project instructions and conventions the agent reads every time, so it writes code the way your team does.
Guardrails
Permissions, review flow and rules for what an agent may do on its own, and what needs a human.
Connections to your systems
Secure access to the things real work depends on: databases, issue trackers, documentation, deployment.
Training
Hands-on sessions with your developers on real tasks from your backlog, until it is part of how they work.
I have restructured a production data platform so coding agents can work in it, and I do most of my own engineering this way. This website was built with the setup described here.
How we can work
AI coding setup
I configure agentic coding in one team or codebase and hand over a working way of doing things.
6–10 days of work, over 3–4 weeks
Ask for a quoteRollout
The same across several teams, with shared conventions and measurement of the effect.
Delivery
I build your project myself using this setup, and leave both the result and the setup behind.
TechnologyClaude Code · AI coding agents · MCP integrations · Project conventions · Git and pull request workflows · Python · TypeScript · SQL
Tell me what you need.
Three lines is enough. I reply within one working day with how I’d approach it and what it would take.
- No cost and no obligation
- A straight answer on whether I can help
- A price before any work starts