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Course Outline

Introduction to AI-Enhanced Development

  • Survey of AI-assisted coding tools and current trends
  • The role of Cursor in contemporary development environments
  • Major productivity advantages and safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Linking to Git and widely used code repositories
  • Exploring the user interface and primary features

Utilizing AI Code Completion and Inline Suggestions

  • Interacting with context-aware code completions
  • Crafting effective prompts for superior AI output
  • Tuning AI behavior to adhere to project standards

Smart Editing and Refactoring

  • Implementing AI-driven refactoring and edit suggestions
  • Leveraging “Edit with AI” for quick transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Assistance

  • Employing the integrated chat for code comprehension and debugging
  • Generating and assessing documentation with AI
  • Resolving code issues using contextual insights

Safe Use and Verification of AI Suggestions

  • Assessing accuracy and preventing blind acceptance
  • Best practices for version control and review procedures
  • Safeguarding security and compliance in AI-assisted workflows

Team Collaboration and Workflow Optimization

  • Efficiently onboarding teams to Cursor
  • Integrating Cursor with existing CI/CD pipelines
  • Optimizing shared settings and collaborative editing

Extending Cursor and Continuous Learning

  • Integrating third-party plugins and APIs
  • Adapting to new Cursor features and updates
  • Investigating future trends in AI-driven software development

Summary and Next Steps

Requirements

  • A foundational understanding of programming concepts
  • Hands-on experience with at least one programming language (e.g., Python, JavaScript, or Java)
  • Acquaintance with operating a code editor or IDE

Target Audience

  • Junior software developers
  • Mid-level engineers aiming to integrate AI coding assistants
  • Development teams implementing AI-powered workflows
 14 Hours

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