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Beginnt 6 June 2026 05:09
Endet 6 June 2026
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55 minutes
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Conference Talk
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Übersicht
Lehrplan
- Introduction to AI-Assisted Pair Programming
- Getting Started with GitHub Copilot
- Understanding Copilot's Capabilities
- Effective Collaboration with AI
- Enhancing Productivity with AI
- Improving Code Quality
- Ethical and Practical Considerations
- Advanced Topics in AI-assisted Development
- Conclusion and Future Trends
- Hands-on Projects and Exercises
Overview of AI in software development
Introduction to GitHub Copilot
Benefits of pair programming with AI
Setting up GitHub Copilot in your development environment
Configuring and personalizing AI suggestions
Integrating Copilot into your existing workflow
Exploring code completion and generation features
Reviewing Copilot's language support and limitations
Analyzing AI-generated code for quality and accuracy
Best practices for interacting with Copilot
Balancing AI suggestions with human intuition
Strategies for improving AI outputs
Automating routine coding tasks
Using Copilot for rapid prototyping and brainstorming
Strategies for debugging and refining AI-assisted code
Implementing code review practices with AI-generated code
Validating and testing AI-suggested functions
Ensuring maintainability and readability of AI-assisted code
Discussing the ethical implications of AI-generated code
Understanding intellectual property concerns with Copilot
Ensuring security and privacy with AI tools
Customizing Copilot and future integration possibilities
Leveraging additional AI tools in the coding workflow
Case studies and industry applications of AI pair programming
Recap of key insights and strategies
The evolving role of AI in software development
Preparing for future advancements in AI tools for coding assistants
Building a complete application with Copilot assistance
Code refactoring and optimization challenges
Collaborative group exercises to enhance learning and skills.
Fachgebiete
Conference Talks