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Course Outline

Foundations of AI-Assisted Development

  • The concept of AI-assisted coding
  • Key capabilities of Cursor
  • The role of LLM integration in the software lifecycle

Initial Setup for Cursor

  • Process of installing and configuring the editor
  • Establishing connections with GitHub and GitLab
  • Navigating the workspace and layout

Generating Code with Cursor

  • Prompting Cursor to create new code snippets
  • Context-sensitive suggestions and auto-completions
  • Strategies for crafting effective prompts

Debugging and Troubleshooting

  • Applying AI assistance to the debugging process
  • Detecting and fixing common coding issues
  • Leveraging AI for unit testing and error analysis

Refactoring and Documentation

  • Techniques for AI-driven code refactoring
  • Automating the generation of documentation
  • Ensuring consistency across extensive projects

Integrating Cursor with Development Ecosystem

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

Sophisticated AI Coding Processes

  • Utilizing multiple AI models for complex development tasks
  • Tuning prompts and context windows
  • Addressing ethical and security aspects in AI-supported development

Conclusion and Future Directions

Requirements

  • Grasp of software development workflows
  • Proficiency in programming with Python, JavaScript, or TypeScript
  • Knowledge of Git and basic code editing tools

Target Audience

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

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