Do you want to adopt AI safely, keep your delivery speed high, and modernize the way your teams build software? Vibe Coding helps you move away from slow, manual development toward a faster, AI-powered, and collaborative way of working. In our hands-on workshop, you will try out Vibe Coding in real scenarios and quickly understand what this new technology can do for your organization.
Traditional development cycles are increasingly slow compared to AI-augmented teams. Organizations that don't adapt risk falling behind competitors who ship features in days instead of weeks. The productivity gap is widening fast.
Leadership teams hear the hype but lack clarity on what AI can actually do for their engineering orgs today — versus what's still hype. Without hands-on experience, strategic decisions are made on assumptions, not evidence.
Developers experimenting with AI tools individually leads to inconsistent results, security concerns, and no shared practices. Without a structured approach, AI adoption creates more chaos than value.
Understand how AI is fundamentally changing the costs, speed, and value of software development. Learn why the economics of building software are shifting and what it means for technology strategy, team sizing, and competitive advantage. This isn't theory in a vacuum — we ground it in real numbers and real organizations.
The developer role is evolving. Learn how engineers move from just executing tickets to designing, directing, and reviewing AI-generated work. Understand the new skill set required: prompt engineering, architectural thinking, code review at scale, and knowing when to trust (and when to override) AI suggestions.
See how real enterprises are using Vibe Coding in production systems — not toy demos, but actual workflows in regulated industries, complex codebases, and large teams. We share anonymized case studies showing measurable improvements in delivery speed, code quality, and developer satisfaction.
AI changes how we estimate work, deliver features, and organize team workflows. Story points, sprint planning, and capacity models all need rethinking. Learn practical frameworks for estimating AI-augmented work and structuring delivery pipelines that take advantage of dramatically faster coding cycles.
This is the core of the workshop: you'll actually code with AI. Practice modifying, extending, and debugging real software using AI coding assistants. Build techniques for working effectively with AI: task breakdown, prompt crafting, output verification, and hardening generated code for production use.
Apply modern engineering practices designed for AI-augmented development: modularity that AI can work with, feedback loops that catch AI errors early, and safe delivery patterns that let you ship with confidence. Plus: use AI to accelerate learning in new languages, frameworks, and unfamiliar systems.
CTOs, CIOs, and Heads of Engineering seeking clarity on AI's real impact on software development and team productivity. You'll leave with a clear picture of what Vibe Coding can realistically deliver, how to measure ROI, and how to roll it out across your organization without disrupting existing workflows.
Experienced developers and architects looking to dramatically increase their output with AI-augmented engineering practices. You'll get hands-on experience with the latest AI coding tools, learn advanced prompting techniques, and understand how to integrate AI into complex, existing codebases safely.
Product Owners, Product Managers, and Business Stakeholders who want to thrive as software creation evolves into AI-augmented engineering. Understand what's now possible so you can set realistic expectations, reshape roadmaps, and have informed conversations with your engineering teams about AI adoption.
Before anything else, we hop on a call to understand your organization, your team's experience level, your tech stack, and what you hope to get out of the workshop. Based on this, we put together a personalized agenda and offering — no generic slides, no wasted time.
Free · No commitmentWe start with the big picture: why Vibe Coding matters, how AI is changing the economics of software development, and what this means for your organization. We cover how the developer role is evolving from executor to director, and look at real data on productivity gains from companies that have adopted AI-augmented workflows.
Theory & ContextSee Vibe Coding in action with live demonstrations. We walk through real enterprise use cases showing how teams in production environments use AI to build features, debug issues, and accelerate delivery. You'll see before/after comparisons, common pitfalls, and the techniques that separate effective AI use from frustrating trial-and-error.
Demo & Case StudiesThe heart of the workshop. Guided by our instructors, you'll work through real coding exercises using AI assistants. You'll practice modifying existing code, extending functionality, debugging AI-generated output, and learning effective task breakdown and prompting strategies. This isn't watching someone else code — you'll be doing it yourself with expert support.
Hands-on · InteractiveWe close the technical portion with best practices for the AI era: how to structure code for AI collaboration (modularity), how to build feedback loops that catch AI errors early, safe delivery patterns, and how to use AI to accelerate learning when working with unfamiliar languages, frameworks, or legacy systems.
Best PracticesOpen discussion to address your team's specific questions. We summarize key takeaways, discuss how to bring Vibe Coding practices back to your daily work, and outline concrete next steps for rolling out AI-augmented development across your organization.
Discussion & PlanningOur workshop instructors are active engineers and architects who use AI coding tools in production every day. They've seen what works, what fails, and what the real pitfalls are — so you learn from experience, not theory.
Every workshop is customized to your team after a scoping call. We adjust the depth (strategic vs. technical), the examples (your industry), and the exercises (your stack) so the content is immediately actionable.
We work with companies like BSH, Deutsche Bahn, OTTO, and many others. Our approach to AI adoption is grounded in enterprise reality — security, compliance, team dynamics, and long-term maintainability.