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 Duration 21 hours (3 days)

Course Outline

Foundations of AI-Assisted Development

  • The concept of AI-assisted coding
  • Key features of the Cursor interface
  • The role of LLM integration in modern software development

Cursor Configuration

  • Installation and initial setup
  • Linking with GitHub and GitLab accounts
  • Navigating the workspace and layout options

Generating Code with Cursor

  • Creating new code snippets through prompts
  • Receiving context-aware suggestions and auto-completions
  • Techniques for crafting effective prompts

Debugging and Error Management

  • Applying AI support to debug complex issues
  • Identifying and fixing common coding errors
  • Conducting AI-guided unit tests and error analysis

Refactoring and Documenting Code

  • Techniques for AI-driven code refactoring
  • Generating automatic documentation
  • Ensuring consistency across large-scale projects

Cursor Integration with Dev Tools

  • Collaborating with VS Code and terminal utilities
  • Incorporating Cursor into CI/CD pipelines
  • Team collaboration using AI-generated suggestions

Advanced AI Coding Patterns

  • Combining AI models for intricate coding challenges
  • Tuning prompts and managing context windows
  • Navigating ethical and security aspects of AI development

Recap and Future Directions

Requirements

  • A solid grasp of standard software development workflows
  • Practical experience coding in Python, JavaScript, or TypeScript
  • Proficiency with Git and basic code editors

Target Audience

  • Software developers
  • DevOps engineers
  • Professionals interested in AI and automation

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