AI Engineering
Level up development with AI, Claude Code, PR validation, and test automation.
Not slide-deck theory. A full-day hands-on session where you set up agentic coding tools, see live PR validation and test generation pipelines, and leave with a dev-AI playbook you can apply in your team next week.
At a glance
- Audience
- Developers, tech leads, and CTOs at SMEs, people who code daily
- Format
- Virtual or hybrid
- Duration
- 6–7 hours, plus breaks
- Seats
- 8–10 (selected applicants; max 2 per company)
- Price
- €599 early bird · €749 standard · €899 final
- Prerequisite
- Bring a laptop and a real repo or coding task from your work
- Date
- Confirmed after applications close
Payment link sent after your application is accepted.
Who should apply
- Software developers , want to 10x delivery without sacrificing quality
- Tech leads & engineering managers , evaluating agentic coding for their team
- CTOs at SMEs , need a practical adoption plan, not vendor demos
What you'll leave with
- Claude Code configured and working on a real task from your repo
- PR validation automation template, review summaries, schema checks, peer review agents
- Unit test generation workflow, patterns for coverage without boilerplate fatigue
- Personal 2-week adoption plan for your team
Agenda
- Agentic coding landscape, what works in production vs hype (45 min)
- Claude Code live setup, context, rules, and workflow patterns (60 min)
- PR validation pipeline, automated review agents and structural checks (75 min)
- Automated testing patterns, unit test generation and CI integration (75 min)
- Hands-on, automate one real task from your repo (90 min)
- Adoption plan and close, 2-week rollout for your team (45 min)
Apply for Workshop 2
Complete the short application form. You'll hear within 5 business days with an invitation to pay, a waitlist place, or more information.
Apply for a SeatNew to AI? Start with Workshop 1: AI Foundations. Need business automation? See Workshop 3.
Karl Nolan · Principal Consultant · 27+ years architecting and building software and AI workflows
Case studies: PR validation pipelines · legacy system modernisation · regulated-industry delivery