
Coding with AI
Develop faster with AI-powered tools
AI-powered coding tools are radically changing software development. In this workshop, you learn how to leverage these tools effectively to develop faster and with higher quality, without losing control over your code.

In detail
About this event
AI coding tools are changing software development faster than any other technology in recent years. GitHub Copilot, Cursor and Claude Code are no longer toys. They are productive tools that fundamentally accelerate the development workflow. But the productivity gains don't come automatically. To use AI coding tools effectively, you need to understand how to integrate them properly: Which tasks are suited for AI assistance? How do you write prompts that actually generate high-quality code? And how do you recognize the limits and risks? In this workshop, you work hands-on with the leading tools, develop your own workflows and learn to ensure code quality and security for AI-generated code. By the end, you have a clear strategy for how your entire team can use AI coding tools effectively and safely.
Benefits
Your benefits
You significantly boost your daily development productivity and confidently use leading AI coding tools. Onboarding into new codebases becomes noticeably faster and debugging more efficient through AI-powered error analysis. You also develop a clear strategy for safe and effective adoption across your entire team.
Methods
Live coding, pair programming, code reviews and guided exercises. Hands-on share approx. 70 %.
Prerequisites
- Solid programming experience in at least one language
- Own laptop with IDE (VS Code recommended)
- GitHub account and Copilot license (trial is sufficient)
Available dates
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What to expect
Agenda
- Overview: AI coding tools compared
- GitHub Copilot: Setup, workflows and best practices
- Cursor and Claude Code: Agentic coding in practice
- Prompt engineering for code generation
- Debugging and refactoring with AI assistance
- Security and code quality for AI-generated code
Learning outcomes
- Effectively integrate AI coding tools into your development workflow
- Write high-quality prompts for code generation
- Accelerate debugging and refactoring with AI assistants
- Identify and mitigate risks of AI-generated code
Target audience
Software developers, tech leads and technical consultants who want to boost their productivity with AI coding tools. Programming experience required.
Tools used
GitHub CopilotCursorClaude CodeVS Code
Your First Step to AI Success
„Contact me directly for your first step to AI success“
Ilirjan Bytyqi, M.Sc.Operations Lead at Ziya GmbH
„Or schedule a meeting with me“

Initial Consultation
Initial consultation, approx. 30 minutes
Select an appointment and send your request for an initial consultation. Our AI expert team will advise you on how to strategically deploy artificial intelligence in your company – from automation to tailored AI solutions.
Select date & time
March 2026
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