Half day
Compact hands-on session for teams that want to get up to speed fast. Ideal as a deep-dive after a keynote.
Seriously deploying coding agents for engineering teams.
Coding agents like Claude Code and OpenAI Codex are changing how software is built — but without discipline they mainly produce fast technical debt. In this training for engineering teams we cover agentic development done right: steering the agent effectively, setting up code review for agent output, repo integration and CI, controlling costs, and agreeing on what agents may and may not do autonomously. Participants work on your own codebase and go home with a workable team standard for AI-assisted development.
Response within 1 hour on workdays
Compact hands-on session for teams that want to get up to speed fast. Ideal as a deep-dive after a keynote.
Complete training with exercises on your own cases. Every participant leaves with working output.
Multiple sessions spread over weeks, with assignments in between and personal guidance.
Our velocity is noticeably up, but more importantly: we now have review standards that prevent agent code from reaching the main branch unchecked.
Yes, but we explicitly address the risk of over-reliance. Juniors in particular learn how to use agents without undermining their learning curve.
Yes, that's the core of the training. During the intake we agree which repo and which tasks are suitable.
We compare both agents extensively on strength, context understanding, integration and cost — and determine together which (or which combination) fits your stack.

Tell us briefly about your event. Remy's team (PA Vivian Goudkuil) replies on his behalf as quickly as possible — usually within 1 hour on workdays — with a tailored proposal, availability and rate.
Remy's speaking schedule is fully booked; his team (PA Vivian Goudkuil) replies on his behalf as quickly as possible — usually within 1 hour on workdays, otherwise next workday before 10:00.