Your team bought AI tools. Are they using them?
A full day of hands-on AI tooling for engineering teams. Real tools, real problems, real workflows. Not theory. Not a vendor pitch.
Let's talk
The situation
Most engineering teams have AI tools. Most are not using them well.
Early adopters have figured out agent-mode development and AI-assisted review. Everyone else is still treating Copilot as a slightly smarter autocomplete.
The gap compounds. Teams that use AI effectively deliver faster, catch more bugs before production, and spend less time on boilerplate. Teams that have not figured it out yet are paying for tools that do not move their velocity number.
The most common failure mode: uneven adoption.
A few engineers love AI tools. The rest are skeptical or indifferent. The CTO bought Copilot seats for the whole team but cannot tell whether it made a difference.
This is not a tooling problem. It is a habits problem. The solution is not another licence. It is structured, hands-on training where the whole team builds working proficiency in one day.
That is what this workshop does.
What you will know
Every participant leaves with a working setup and the habits to use it.
Agent-mode development: how to give AI enough context to write production-quality code, not just autocomplete.
AI-assisted code review: what AI catches that human reviewers miss, integrated into existing PR workflows.
AI test generation: unit tests, edge case coverage, and regression suites generated and evaluated.
AI in architecture and sprint planning: trade-off evaluation, estimation improvement, design second opinions.
Risk awareness: where AI makes engineers faster and where it creates new risk. What not to paste into a public LLM.
Team norms: shared habits so the whole team benefits, not just the early adopters.
How it works
Setup and context
Pre-session briefing. Participants install and configure Cursor, Claude Code, and Copilot. Workshop is tailored to your team's tech stack and experience level.
Hands-on blocks
Five practical blocks across the full AI-assisted delivery lifecycle: coding tools, code review, testing, architecture and sprint planning, risk awareness. Real exercises on real problems.
Closing and adoption
Individual setup review. Everyone leaves with a working, configured toolchain. Team-specific questions addressed. 30-day follow-up channel for questions.
Scope
What is included
Full-day workshop (7-8 hours) with 1 facilitator.
Up to 20 participants per session.
Five practical blocks: AI coding tools, AI code review, AI testing, AI architecture and sprint planning, risk awareness.
Live exercises with real tools on practical problems throughout.
Individual setup review: every participant leaves with a working toolchain.
Summary of tools covered and recommended configuration settings.
Links to prompt templates used during exercises.
30-day open channel (Slack or email) for follow-up questions.
What is not included
Ongoing coaching or consulting engagement.
Custom internal AI tooling setup or CI/CD integration (scoped separately).
Hardware, software licences, or tool subscriptions.
Audit, report, or implementation roadmap. This is a skills workshop.
Who does the work
Lars Strojny, Principal Consultant.
Lars runs AI-native development across production systems at KAYAK scale (2B+ queries/year, 60 markets) and HomeToGo (50+ daily deployments, 100+ API integrations). The workflows taught in this workshop are the same ones running on those systems today.
Secondary facilitator: Torben Hartmann, Principal Consultant, for sessions requiring two facilitators or specific technology depth.
Both facilitators use these tools daily on production systems. This is not curated demo material.
Why Gradion
Our engineers use these tools daily on production systems.
Gradion built and scaled engineering platforms at KAYAK and HomeToGo. The workflows we teach are the ones running on those systems today.
We teach the whole team, not just the early adopters.
The workshop is designed to bring every participant to working proficiency in one day. Including the skeptics. The exercises are practical, not theoretical.
No vendor agenda.
We are not selling Copilot licences or a Claude enterprise contract. We cover the tools that are actually best for different tasks, including when a simpler tool beats the expensive one.
320 engineers across 3 continents.
We have seen what works at scale and what fails. The team that adopted AI tools with no shared norms. The engineers who trusted generated code without reviewing edge cases. This workshop is built around those failure patterns.
AI Development Workshop
Fixed price. No surprises. No hidden costs.
Standard
Full-day hands-on workshop. 1 facilitator, up to 20 participants. On-site or remote.
- Full-day session (7-8 hours)
- Up to 20 participants
- 5 practical blocks across the AI-assisted delivery lifecycle
- Live exercises with real tools
- Individual setup review for every participant
- Summary and prompt templates delivered after session
- 30-day follow-up channel
Common questions
What tools do participants need?
A laptop with admin rights to install software. We cover Cursor, Claude Code, and Copilot. Participants should have active accounts or trial access before the session. A setup guide is sent one week before the workshop.
Is this for beginners or advanced engineers?
Both. The workshop is structured so that beginners build foundational skills while advanced users deepen their workflow. Exercises scale in complexity. Teams with mixed experience levels are the most common and work well.
What if some team members are skeptical?
That is the most common scenario and exactly what the workshop is designed for. The exercises are practical, not theoretical. Skeptics who work through real problems with AI tools in a structured setting consistently become adopters. The data from previous sessions: 90% active adoption within two weeks.
Remote or in-person?
Both. On-site preferred for the best experience (Hamburg, Kiel, or any major DACH/APAC city). Remote sessions run on the same agenda and work well for distributed teams. Minimum 5 participants, maximum 20.
What comes next
This is a standalone workshop. There is no audit, no roadmap, no implementation engagement by default.
After the session, Gradion provides a summary of tools covered, recommended configurations, prompt templates, and a 30-day open channel for follow-up questions from participants.
If your team wants deeper engagement (custom internal AI tooling setup, AI-integrated CI/CD workflows, or team coaching on a specific codebase) Gradion can scope an engineering engagement. That is a separate conversation, not a default follow-on.
The workshop stands on its own. Your team leaves with skills, not a sales funnel.
AI Development Workshop: EUR 6,000/session
Fixed price. Full day. Fill out the form and we will confirm availability and scope within 48 hours.
- No obligation. No sales pitch.
- Response within 48 hours.
- Senior practitioner, not a junior analyst.