AI Coding Assistant (Copilot, Claude, Cursor) Training in Kraków, Poland

This course equips developers, testers, and IT professionals with practical skills to leverage AI coding assistants—GitHub Copilot, Anthropic Claude, and Cursor IDE—for faster, smarter, and more efficient software development. Participants will learn prompt engineering for code, debugging, test automation, documentation, and integration into development workflows.

Introduction to AI Coding Assistants

• Overview of GitHub Copilot, Claude, and Cursor

• How AI coding assistants work (LLMs in coding)

• Benefits & limitations in real-world development

Getting Started with AI Coding Assistants

• Setting up Copilot in VS Code / JetBrains

• Using Claude for coding in chat & API contexts

• Cursor IDE overview and AI-powered navigation

Prompt Engineering for Coding

• Writing effective prompts for code generation

• Constraining outputs (language, style, framework)

• Handling multi-step coding tasks

Code Generation & Refactoring

• Generating boilerplate and repetitive code

• Refactoring legacy code with AI suggestions

• Optimizing algorithms with AI guidance

Debugging & Testing with AI

• Using Copilot & Claude for error resolution

• AI-assisted unit test and integration test generation

• Automating bug fixes with AI suggestions

Documentation & Collaboration

• Automating docstrings, comments, and READMEs

• Generating API documentation and usage samples

• Pair programming workflows with AI assistants

Advanced Use Cases & Integrations

• Using Claude for large-scale reasoning and architecture planning

• AI in DevOps pipelines (GitHub Actions + AI code review)

• Cursor for AI-driven code search and editing

Security, Ethics & Best Practices

• Secure use of AI-generated code (avoiding vulnerabilities)

• Licensing and intellectual property concerns

• Responsible adoption in enterprise environments

Hands-on Exercises

Summary and Conclusion