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Course Outline

Introduction to AI-Assisted Development

  • Exploring the concept of AI-assisted coding.
  • An overview of Cursor’s key features.
  • Understanding how LLMs are integrated into software development.

Setting Up Cursor

  • Installing and configuring Cursor.
  • Connecting to GitHub and GitLab.
  • Navigating 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

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

Code Refactoring and Documentation

  • Applying AI-driven refactoring techniques.
  • Generating documentation automatically.
  • Maintaining consistency across large projects.

Integrating Cursor with Development Tools

  • Working with VS Code and terminal tools.
  • Utilizing Cursor within CI/CD pipelines.
  • Enhancing team collaboration with AI suggestions.

Advanced AI Coding Workflows

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

Summary and Next Steps

Requirements

  • A foundational understanding of software development workflows.
  • Practical experience programming in Python, JavaScript, or TypeScript.
  • Familiarity with Git version control and basic code editors.

Target Audience

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

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