AI-Native Software Development

The old software development lifecycle is dead. Welcome to the loop.

Build software without reading code

(Software developers, software architects, team leads, product owners)

Requirements, design, build, test, deploy, maintain – that is how we built software for decades. That world no longer exists. In this 2-day workshop you build complete applications in dialogue with AI agents such as Claude Code and Codex – with the IDE closed and without reading a single line of code. What used to take days now takes minutes to hours. You experience this hands-on in your own project, not on slides.

We clear out the habits development teams are clinging to right now:

  • Up-front specifications are waterfall in disguise – we clarify intent and iterate.
  • arc42 and architecture documents are outdated the day they are finished – the Git history is the event stream of your decisions.
  • Clean Code was made for humans who read code – the AI structures the code itself, you secure responsibility through testability.
  • Human code reviews no longer scale – AI reviews AI.

What remains is what matters: the right decision between simple logic and a distributed system, clear responsibility through tests and APIs – and knowing where professionals will remain indispensable.

Learn:

Build applications in dialogue with AI agents – without an IDE and without reading code

Clarify requirements through intent instead of lengthy specifications

Use the Git history as living documentation and derive architecture decisions with a prompt

Take responsibility through testability, API first and AI reviews

Recognize when you need professionals: distributed systems, scaling, regulation

Iterate instead of plan: build, verify, throw away, rebuild – in minutes instead of weeks

Understand why software is becoming a commodity – and what role developers will play

  • Build applications in dialogue with AI agents – without an IDE and without reading code

  • Clarify requirements through intent instead of lengthy specifications

  • Use the Git history as living documentation and derive architecture decisions with a prompt

  • Take responsibility through testability, API first and AI reviews

  • Recognize when you need professionals: distributed systems, scaling, regulation

  • Iterate instead of plan: build, verify, throw away, rebuild – in minutes instead of weeks

  • Understand why software is becoming a commodity – and what role developers will play

References

GoldbeckGeutebrückDataportIBF SolutionsTheben Smart EnergyHedgehogDE-CIXRösberg EngineeringKASTOLTB LeitungsbauChemical Check

Training

Content

Compact

1 Day
1d

Standard

2 Days
2d
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Conclusion & Certificate
✓ ✓
per participant, plus VAT and travel expenses as incurred
690 €
1,290 €
phone First-hand consultation

For individuals

  • Open training for single participants.
  • Book individually.
  • Remote.

Upcoming Dates

For companies

(minimum 4 participants)

  • On your demand.
  • Book exclusively for your team.
  • On site or remote.
  • Traveling cost according to expenditure

After the training: vibe coding coaching

A training lights the spark – everyday work decides whether it keeps burning. With our vibe coding coaching we support your team in its first real projects: as much help as necessary, as little as possible.

Explore vibe coding coaching

Your benefit

  • Content adopted to your needs - for your team to profit in the best possible way.
  • English and German - currently we offer this field-tested training in whole Europe.
  • Experienced speakers known from various conferences (DWX, Magdeburger DevDays, IT-Tage, ...) having the technical and dedactical skills to teach the exactly the knowledge your scenario needs.
  • Inhouse or remote - all trainings.
  • A theory and a practice part is included in all trainings.
  • Complete training records will be handed over.
  • Support and consultancy will be provided even after the course.
  • A training certificate will be handed over to all participants.

Verified Open Badge

Certification System

Trainers

Insights

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This is what our participants say

Farah

My experience with the Clean Code training (2 days) was great. I gained a lot of knowledge about clean code, refactoring, unit tests and various software design techniques. The trainer conveyed the information in a very engaging way. There was always an opportunity to ask questions. I can definitely recommend the Clean Code training for junior developers.

Henning

We have now completed our third training with Stefan Dirschnabel and it was once again a great benefit for our team. Preparation top-notch, very structured process and excellent expertise. All questions were answered and we were also offered help going forward. Thank you Stefan for the training. We will definitely come back!

Johannes

Would do it again anytime! The Clean Code training was very well structured, had an enormous amount of content, and was also wonderfully varied and entertaining. You can tell that Stefan Dirschnabel brings not only a great deal of knowledge and experience, but also great enthusiasm for software development!

You ask, we answer

Do participants need to be able to program? caret down
For this workshop, yes: it is aimed at development teams and shows how their work is changing fundamentally. For domain experts without programming experience we offer the training “Vibe Coding for Domain Experts”.
Which AI tools do we use? caret down
Mainly AI agents such as Claude Code and OpenAI Codex. The principles apply regardless of the tool; on request we work with the tools approved in your company.
Why does the training no longer cover prompt engineering and RAG? caret down
Because today’s models and agents no longer need yesterday’s tricks. What matters is not the perfect prompt but a new development process: clarify intent, iterate quickly, secure responsibility through tests and APIs.
Can we bring our own projects? caret down
Yes. In company trainings we like to work on your existing software: the AI analyzes it and we develop improvements together. The prerequisite is that the AI tools used are approved in your company.

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