Faster, More Reliable AI Development the XP Way
Developers learn a practical workflow they can use next week. Their managers pay for faster delivery, fewer defects, and AI adoption that keeps the codebase coherent while helping product developers focus on what to build next.
Packaged Offer
3-Day AI Programming Intensive
A focused class for two programmers from the same team, learning how to work with AI as a capable coding partner under human direction. Three immersive days. Live agentic development. Tests first. Architecture explicit. Verification always.
What the Class Covers
- AI pairing as the operating model: one developer working with a coding agent while design decisions stay human
- How to work with GitHub Copilot, Claude Code, or OpenAI Codex as active coding partners
- Working like a product developer: using AI to accelerate coding while humans stay focused on what to build, how it fits, and why it matters
- Modern XP (created in 1996) in the age of AI: test-first development, refactoring, continuous integration, small releases, collective ownership
- Keeping architecture explicit so AI extends the existing system with energy and consistency
- Using AI for refactoring, legacy code archaeology, and safe code generation
- Review habits that turn plausible drafts into production-ready changes
- Integrating AI-assisted work into CI/CD as a normal part of delivery
Format
- Three consecutive remote days
- One class unit equals two programmers from the same team. We teach them together for deeper immersion, shared language, and easier rollout afterward
- Live coding sessions, guided exercises, and direct feedback
- Works with your codebase or a prepared training codebase, depending on risk and access
- Ends with a concrete working agreement for how your developers should use AI and XP practices next week
What Participants Leave With
- A repeatable AI-pairing workflow for development that starts with intent and ends with verification
- Clear judgment for when AI can run ahead and when it needs a firmer human hand
- Practical XP habits for prompting, reviewing, testing, refactoring, and integrating code
- Architecture guardrails the team can enforce through tests, code review, and build checks
- Examples from real production development and day-to-day delivery work
Best Fit
- Teams already using AI tools but getting uneven results
- Software architects and CTOs who want AI adoption tied to quality and delivery discipline
- Teams working in legacy modernization, product delivery, or high-change codebases
- Organizations ready to turn AI adoption into everyday development practice
Your developers are already exploring AI, and many teams have already switched tools like GitHub Copilot on. This class helps them move beyond first experiments into a confident, enjoyable, repeatable way of working.
With tests, architectural boundaries, and CI/CD in place, AI becomes a fast, eager development partner. It can draft, refactor, explain, and explore at speed while your developers keep the system clear and moving forward.
We use AI tools daily in production work. They help us search, suggest, rewrite, and accelerate the boring parts so developers can spend more time on design, judgment, and delivery. Some even say coding has become a solved thing. The real advantage now sits in knowing what to build, how it fits the system, and how to turn business intent into working software.
This is a hands-on class in agentic coding, taught with XP disciplines for a world where code arrives much faster. The agents are active. The developers stay in charge. The moat is no longer typing speed. It is systems thinking, product understanding, and the judgment to guide agents toward the right thing to build. And yes, we can absolutely run the class in your actual codebase instead of a demo project.
Talk It Through with Stephan Schwab
A short guidance conversation for teams planning their next step with AI coding.
Bring your questions, your rollout ideas, or your current setup. You will talk directly with Stephan Schwab: forty-plus years in international software development and hands-on work with AI coding from day 1. The goal is simple: clear guidance on what fits your team best.
What Comes After the Class
If you want to go further, this class can become the first step in a broader rollout: Developer Advocate support, architecture guidance, hands-on implementation help, and coaching for the people carrying the change.
From Practice
From real production work:
Your Trainer: Stephan Schwab
Forty-plus years of international software development experience, now focused on agentic coding that actually helps teams ship
AI gets more useful when experienced developers show teams how to work with it well. Forty-plus years in international software development make that guidance practical, calm, and immediately usable.
What Leaders Want
Technical leaders want more speed and stronger architecture. Non-technical leaders want smoother delivery, less rework, and confidence that the team knows what to build while AI accelerates the implementation.
Practices We Teach
- AI pairing with human judgment kept in charge
- Product developers spending more time on systems thinking and product understanding
- Test-first development and safe refactoring
- Continuous integration and small releases
- Architecture guardrails enforced through code and checks