For Developers
AI for Software Teams
In 8 weeks: Your development team uses AI as a real tool.
24 sessions in 8 weeks, 3x per week, 2 hours each. Your team learns to systematically integrate AI into daily development: from precise prompting through problem decomposition and testing to custom agents and local LLMs.
8 weeks
48 hours (24 sessions × 2h, 3×/week)
Remote Live Sessions
Max. 8 participants
€14,000
per course (max. 8 participants)
The Modules
Module 1: Fundamentals, Tools & Core Processes (Week 1-4)
The foundation for productive work with AI tools.
- Effective Prompting: Prompt engineering for logical tasks and code generation
- Problem Decomposition: Breaking down large tasks with human-in-the-loop workflows
- Unit Testing: AI-assisted testing, coverage and test strategies
- Documentation & Bug Diagnostics: Automated docs and AI error analysis
Module 2: Advanced Techniques & Architectures (Week 5-8)
For teams that want to use AI systemically.
- Local LLMs & Boilerplating: Deploy local models and automate code structures
- DB Schema to MCPs: Use database schemas as Model Context Protocols
- Custom Agents: Build your own agents with AGENTS.md and agentic architecture
- Context & Token Efficiency: SKILLS.md, dreaming and cost optimization
Ideal for development teams who want to not just use AI, but integrate it into their toolchain.
Request SW Team TrainingLoop Engineering and Harness Engineering
The two core competencies your development team needs to use AI productively and safely.
Loop Engineering
The art of making AI agents work iteratively and in a controlled manner. From Plan-Do-Assess-Review cycles to multi-agent orchestration.
Harness Engineering
The infrastructure around the model: tool orchestration, verification loops, guardrails, and observability. Deterministic control instead of probabilistic hoping.