Software That Survives
Human-Driven Development with Claude Code
A working method for using coding agents without giving up the engineering decisions that keep a product maintainable.
WORKSHOPS
Turn AI adoption into a working practice.
Hands-on workshops for engineering teams working with coding agents, reliable AI features, generative interfaces, and AI-speed product delivery. The material comes from systems we use in production and is adapted to the team in the room.
Four workshops. One engineering standard.
Choose the problem your team needs to work through. Each workshop turns the subject into decisions, working examples, and practices the team can keep using.
The Model Picks the Component
A Generative UI Lab
Build a generative interface where the model chooses from controlled components, outputs stay valid, and the product remains testable.
UPCOMING AT CONFITURA 2026 · 90 MINUTESView ConfituraHow to Become an AI Engineer
Reliable AI Features in TypeScript
Treat the model as an engineering dependency through schema-validated outputs, evaluations in CI, evidence-based model selection, and production tracing.
UPCOMING AT CITYJS ATHENS 2026View workshopProduct Delivery 2.0
Rework delivery around fast agent execution, human review gates, and artifacts your team keeps.
Upcoming workshops
Join us at an upcoming conference.
Two public, hands-on sessions drawn from the same material we adapt for engineering teams.
The work stays with your team.
Your team leaves with working practices and artifacts it can keep using: context files, review agents, and CI gates adapted to the work in the room.
Context files
Review agents
CI gates
“They helped me solve the problem, then taught me better ways to debug and work through future code challenges.”
Grounded in work we do ourselves.
The material comes from production systems, 379 consulting sessions, and technical talks delivered to engineering audiences across Europe.
Bring a workshop to your team.
Tell us what your team is working with and what should be different afterwards.