Your engineers are not being replaced. They are being under-used. The tools changed faster than the habits, and most teams are still typing everything by hand while quietly wondering if they should be worried. This course fixes both: two days of hands-on agentic engineering, on your own codebase, that turns twenty years of taste and judgment into the unfair advantage instead of the legacy skill.
No slideware about “the future of work”. We set up real agentic workflows, ship real changes through them, and build the review habits that keep quality up when nobody typed the code by hand.
What you’ll learn
A lot! After this course you will be able to:
- Run an agentic coding setup on your own codebase, not a toy repo.
- Break real work into tasks an agent can execute well, and recognize the tasks it can’t.
- Review and verify code you didn’t write: tests, diffs and the new definition of “done”.
- Use prompts, context and project conventions to get consistently good output instead of lucky output.
- Decide what to automate first, what to automate later, and what never to automate.
- Keep architecture, security and taste in the loop when the volume of generated code explodes.
- Spot where AI genuinely speeds your team up, and where it just generates plausible-looking debt.
Audience
- Working engineers, tech leads, and the seniors who think this is all hype (especially them)
Pricing
2 day AI engineering training 1800,-
About the trainer
Emile has 25+ years of experience building software and leading teams, from co-founding and running Leaplines as CTO to shipping for HEMA, Europol and Sony Ericsson. His teams ran GraphQL in production for years, powering high-performing, declarative APIs for clients such as Hudson's Bay, Bijenkorf, Action and Suitsupply.