Content:

The course will consist of the following topics and may be extended or adapted based on the audience.
The examples in the course will focus on widely used programming languages, software architectures and frameworks.
For in-house courses there is a selection of programming languages and frameworks which can be chosen to better fit the audience.

- Introduction to Agentic Software Development
... - Evolution from "one-shot prompting" to agentic workflow peer programmers
... - Understanding the agentic workflow paradigm
... - Overview of course environment and tools
- Fundamentals of IDE-Integrated AI Agents
... - Setting up and configuring the IDE extension
... - Understanding planning vs. acting modes
... - Effective communication patterns with AI agents
- Context Management and Rule Formulation
... - Building effective project context
... - Defining clear rules and guidelines
... - Advanced prompt engineering techniques
- Working with Existing Codebases
... - Strategies for introducing AI agents to complex projects
... - Code comprehension and documentation generation
... - Refactoring and optimization with agent assistance
- Practical Development Tasks
... - Debugging and fixing issues with AI agents
... - Implementing new features in existing applications
... - Test creation and validation
- Frontend Development with AI Agents
... - Single page application component development
... - UI/UX visual validation and improvement
... - Browser use and end to end testing
- Backend Development with AI Agents
... - REST API design and implementation
... - Agentic API testing approaches
... - Database integration and interaction
- Use and build MCP Servers
... - Understanding the Model Context Protocol
... - Implementing tool-using capabilities
... - Integrating external services and APIs
- Model Selection and Deployment
... - Comparing different AI models and capabilities
... - Cloud providers vs. self-hosting considerations
... - Performance and cost optimization
- Advanced Agent Interaction Techniques
... - Multi-step reasoning and planning
... - Handling complex requirements
... - Error recovery and iterative improvement
- Building Project-Specific "Agentic Tooling Framework"
... - Sharable rules, context and tooling
... - Agentic empowering testing setup
... - AI powered dev-containers
- Future Trends and Best Practices
... - Emerging technologies in AI-assisted development
... - Security considerations
... - Team collaboration with AI agents

The course focuses on a well established, open source, vendor and model provider independent AI integration in Visual Studio Code. Alternative AI focused IDE's, Plugins or Integrations will be discussed. To make the maximum use of time, we'll focus on one tool with different models, but the concepts, workflows and approaches are meant to be transferable to any tool with the same or even stronger capabilities.

Disclaimer: The actual course content may vary from the above, depending on the trainer, implementation, duration and constellation of participants.

Whether we call it training, course, workshop or seminar, we want to pick up participants at their point and equip them with the necessary practical knowledge so that they can apply the technology directly after the training and deepen it independently.