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 Duration 21 hours (3 days)

Course Outline

Introduction to AI-Assisted Development

  • Defining AI-assisted coding.
  • Overview of Cursor’s key features.
  • Understanding LLM integration in software development.

Setting Up Cursor

  • Installing and configuring the Cursor environment.
  • Connecting to GitHub and GitLab.
  • Exploring the workspace and layout.

Using Cursor for Code Generation

  • Prompting Cursor to create new code snippets.
  • Utilizing context-aware suggestions and completions.
  • Best practices for crafting effective prompts.

Debugging and Error Resolution

  • Applying AI assistance for debugging tasks.
  • Identifying and resolving common coding issues.
  • Conducting AI-guided unit testing and error analysis.

Code Refactoring and Documentation

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

Integrating Cursor with Development Tools

  • Collaborating with VS Code and terminal tools.
  • Incorporating Cursor into CI/CD pipelines.
  • Facilitating team collaboration using AI suggestions.

Advanced AI Coding Workflows

  • Combining AI models to handle complex coding tasks.
  • Customizing prompts and managing context windows.
  • Addressing ethical and security considerations in AI-assisted development.

Summary and Next Steps

Requirements

  • A solid understanding of software development workflows.
  • Practical experience programming in Python, JavaScript, or TypeScript.
  • Familiarity with Git and standard code editors.

Target Audience

  • Software developers.
  • DevOps engineers.
  • Enthusiasts of AI and automation technologies.

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