We provide course about Claude Code Leadership Briefing in english. Most engineering leaders did not choose to adopt AI coding. Their developers chose it, and the leader now has to reason about a capability that is already in the room.
Course description:
The leadership question is no longer "should we adopt this" but "what do we measure, what do we fund, and what do we allow." This is not a hands-on course. It is a working session that ends with a written plan a leader can put in front of their own management and their own team.
Course objectives:
• A measurement model that separates AI-attributed output from raw throughput
• A funding decision across Pro, Max, Team, or Enterprise
• A governance baseline defining what is mandatory, recommended, and restricted
• A 90-day rollout calendar with named owners, weekly checkpoints, and a defined kill switch
• A one-page brief the leader can forward internally by Friday
Important information:
1) Pre-Course Self-Assessment:
• Every participant takes a 10-minute online self-assessment before the course. This lets day one open with "here is what this room already knows and where the shared gaps are" instead of generic material.
2) Take-Home Template Pack:
• Every participant leaves with a versioned template pack checked into a real repository. The pack is not a slideware deliverable. It is a working set of 10 to 20 files.
3) 30- Day Follow-Up:
• wo weeks after delivery, the instructor runs a one-hour follow-up with the cohort
The agenda is fixed:
• What has actually been adopted
• What broke
• What got quietly abandoned
Course content:
Session 1 - What The Data Actually Says:
A short, evidence-based walkthrough of the DORA findings, 2026 AI engineering telemetry, and Anthropic's own adoption data. Discussion: where does the leader's team sit on the throughput versus stability trade-off today?
Session 2 - Measurement: What To Track, What To Ignore:
We walk through a minimal metric set that answers the questions that matter now:
• How much of the team's output is AI-assisted
• How much of it survives 30 days without rewrite
• Whether review capacity is keeping up
• Whether change failure rate is creeping
Exercise:
• The leader defines a baseline and the three numbers they will track weekly
Session 3 - Funding And Governance:
Plan tier selection, realistic usage patterns by team size, SSO and audit requirements, and when centralized configuration becomes worth the overhead.
Exercise:
• The leader drafts a three-column governance sheet: mandatory, recommended, restricted
Session 4 - The 90-Day Rollout Plan:
A working session, not a lecture. Each leader drafts a 90-day plan with three phases:
• Pilot
• Expansion
• Standard practice
The plan includes named owners, success criteria, and a kill switch. It is reviewed by the room before anyone leaves.
Instructors: Rogier Muller & Vasilis Tsolis
Rogier Muller is CTO of BlueMonks Group, an Amsterdam-based fintech compliance company, and co-founder of several companies. He`s a lifelong coder who moved early into AI-assisted software development. Today, he is the only person in the world to combine official ambassador roles across the three leading agentic engineering platforms: Cursor, Claude Code, and Codex.
Rogier has hosted numerous events worldwide and works closely with engineering teams, founders, and AI tooling companies on the practical adoption of agentic software development. His specific expertise is using agentic engineering in highly regulated environments, including but not limited to fintech, financial services, KYC/CDD, AML, GDPR, AFM-supervised contexts, auditability, data isolation, and compliance-heavy software delivery.
Vasilis Tsolis is a pioneer in document intelligence and agentic coding helping teams to change how they work across industries. He is an official Ambassador for Cursor, OpenAI Codex and n8n. He is the partner of Cognitiv+, an AI consultancy and software factory that helps organisations practically implement and adopt AI with enterprise confidence.
He has co-founded several companies and trains development teams across the US and EU on AI-assisted coding, with a consistent focus on integrating it into real workflows without losing control of the codebase. Background: engineering and law, twenty years across AI, construction, energy, and tech. Vasilis has worked with JPMorgan, Intel, PwC, and others along the way.
Target audience:
Engineering managers with 5 to 30 reports, heads of engineering, CTOs of mid-market companies, VPs of engineering inside larger organizations, and platform or developer-experience leads who own the tooling budget.
Prerequisites:
• No prior knowledge is required to attend this course
Language:
• The course is given in english
Course material:
The course fee includes course documentation, exercises, lunch and refreshments