Daniel Sogl

In an era where artificial intelligence is revolutionizing software development, this intensive one-day workshop equips developers with practical skills to leverage generative AI tools for dramatic productivity gains. Whether you work with Angular, React, Java, or backend technologies, you'll discover how to integrate AI assistants into your daily workflow to accelerate feature development, automate repetitive tasks, and enhance code quality.

This workshop bridges the gap between AI theory and practical application, providing participants with a comprehensive understanding of how Large Language Models (LLMs) work and how to effectively harness their capabilities. Through live demonstrations and hands-on exercises, attendees will explore the entire spectrum of AI-assisted development—from rapid prototyping to production-ready code generation.
Key Learning Objectives

Participants will:

✔︎ Understand the fundamentals of generative AI, including tokens, embeddings, and the capabilities and limitations of LLMs
✔︎ Master prompt engineering techniques to maximize the effectiveness of AI coding assistants
✔︎ Gain hands-on experience with industry-leading tools including GitHub Copilot, Claude, and rapid prototyping platforms
✔︎ Learn to evaluate and select appropriate AI tools for different development scenarios
✔︎ Build custom MCP (Model Context Protocol) servers to extend AI capabilities with project-specific context
✔︎ Implement AI-driven workflows for testing, documentation, code reviews, and specification generation
✔︎ Develop strategies for responsible AI adoption while mitigating risks and maintaining code quality

Workshop Structure

The workshop combines theoretical foundations with practical application across five comprehensive modules:

Morning Session:

- Foundations of generative AI and LLMs for developers
- Overview and evaluation of AI coding tool categories
- Rapid prototyping techniques with modern AI builders

Afternoon Session:

- Deep dive into GitHub Copilot features and customization
- Building custom MCP servers for enhanced AI integration
- Best practices for team adoption and responsible AI use

Target Audience

This workshop is designed for software developers, architects, and technical team leads across all technology stacks. While demonstrations will use Angular as a reference framework, the concepts and techniques apply universally. Participants should have basic programming knowledge but no prior AI experience is required.

Practical Takeaways

Attendees will leave with:

✔︎ Actionable strategies for immediate AI tool implementation
✔︎ Custom prompt templates and configurations
✔︎ Sample MCP server implementation code
✔︎ Comprehensive resource list for continued learning
✔︎ Risk assessment framework for AI adoption
✔︎ Team integration playbook

Why Attend?

As AI transforms software development from a manual craft to an AI-augmented discipline, developers who master these tools will have a significant competitive advantage. This workshop provides not just theoretical knowledge but practical, immediately applicable skills that can reduce development time by 30-50% while maintaining or improving code quality. Learn to work smarter, not harder, by making AI your most valuable development partner.