Move beyond ad-hoc AI usage, as a team, with this hands-on format combining mental models, practical exercises, and workflow design.
Working with AI coding tools is, in many ways, similar to working with a junior developer: sometimes everything works better than expected, sometimes worse, and most of the time your impact on the outcome is larger than you think. Getting good results consistently is a skill you have to learn.
How LLMs work, how to think about AI as a dev, and how to prompt effectively.
Different kinds of coding assistants, context management, and practical interaction structure.
Frontend, backend, UX, and DevOps with specs, planning, and TDD.
Hallucinations, secret handling, prompt injection, and unsafe code risks.
Tool comparison, team workflow decisions, and shared best practices.
We start with an intro call and tune the workshop content to your team, stack, and current challenges.
Delivery Formats
Stretched
Over 4 weeks, one day a week
Regular
Over 2 weeks, two days a week
Intense
4 days within a single week
Daily Program
This is a suggestion. We run a short interview first and fine-tune the agenda to your team and use-case.
Day 1
Day 2
Day 3
Day 4
This workshop is designed for software development teams who want to move beyond ad-hoc AI usage and establish a reliable, shared way of working with AI in their daily development process.
This is not a beginner coding course and not a generic introduction to AI. Participants should be comfortable with modern software development practices.
By the end of the workshop, your team will not just "use AI more," but will have a clear, practical approach to using it effectively, safely, and consistently - starting the next day.
Experienced software engineers and product-focused technologists, working hands-on with modern AI tooling in client projects.
Founder
Philip holds a Dr.-Ing. in Computer Science and a Master's in Data Science. He has over ten years of experience as a software engineer and technical product manager in industry. In this workshop, he focuses on how to use AI not just for coding, but as part of a structured development process - from shaping tasks and specifications to aligning technical and non-technical stakeholders.
https://heltweg.org
Freelancer
Georg holds a Dr.-Ing. in Computer Science, with a focus on microservice architectures. He has built and evaluated complex software systems end-to-end, from full-stack implementation to platform engineering and architecture. In this workshop, he brings a systems perspective to AI-assisted development, helping teams integrate AI-generated code into existing engineering workflows effectively.
https://georg-schwarz.comBoth instructors combine hands-on industry experience with years of teaching at the university level, where they have taught courses in software and data engineering.
They actively work on modern engineering challenges - including AI-assisted development, architecture, and product delivery - and translate these experiences directly into the workshop.
Rather than theory alone, they share practical experience, opinionated lessons learned, and real-world tradeoffs from working on production systems.
Their goal is simple: to make everything in this course immediately applicable to your team's daily work.
By the end of the workshop, your team will have a clear and practical way to use AI effectively, safely, and consistently.