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Course Outline

Introduction to AI-Assisted Development

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

Setting Up Cursor

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

Using Cursor for Code Generation

  • Prompting Cursor for new code snippets
  • Context-aware suggestions and completions
  • Best practices for writing effective prompts

Debugging and Error Resolution

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

Code Refactoring and Documentation

  • AI-driven refactoring techniques
  • Automatic documentation generation
  • Maintaining consistency across large projects

Integrating Cursor with Development Tools

  • Working with VS Code and terminal tools
  • Using Cursor in CI/CD pipelines
  • Collaborating with teams using AI suggestions

Advanced AI Coding Workflows

  • Combining AI models for complex coding tasks
  • Customizing prompts and context windows
  • Ethical and security considerations in AI-assisted development

Summary and Next Steps

Requirements

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

Target Audience

  • Software developers
  • DevOps engineers
  • Enthusiasts of AI and automation technologies
 21 Hours

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