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Course Outline

Introduction to AI-Enhanced Development

  • Survey of AI-assisted coding tools and emerging trends
  • The positioning of Cursor within modern development ecosystems
  • Essential productivity advantages and critical safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Linking with Git and widely used code repositories
  • Navigating the user interface and understanding core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Effective prompting strategies to optimize AI outputs
  • Adjusting AI behavior to align with project standards

Smart Editing and Refactoring

  • Applying AI-driven refactor and edit recommendations
  • Using the “Edit with AI” feature for rapid code transformation
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Employing the built-in chat for code comprehension and debugging
  • Generating and validating documentation via AI
  • Addressing code issues using contextual insights

Safe Implementation and Verification of AI Suggestions

  • Critically evaluating accuracy and avoiding uncritical acceptance
  • Best practices for version control and review procedures
  • Maintaining security and compliance within AI-assisted workflows

Team Collaboration and Workflow Enhancement

  • Efficient onboarding of teams to Cursor
  • Integration of Cursor with existing CI/CD pipelines
  • Optimizing shared configurations and collaborative editing processes

Expanding Cursor Capabilities and Continuous Development

  • Incorporating third-party plugins and APIs
  • Adapting to new Cursor features and software updates
  • Exploring future trajectories in AI-driven software development

Conclusion and Future Directions

Requirements

  • A solid grasp of fundamental programming concepts
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java)
  • Proficiency in using a code editor or Integrated Development Environment (IDE)

Target Audience

  • Junior software developers
  • Mid-level engineers aiming to incorporate AI coding assistants
  • Development teams transitioning to AI-enhanced workflows
 14 Hours

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