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Course Outline

Introduction to AI-Enhanced Development

  • Overview of AI-assisted coding tools and current trends
  • Cursor's position within modern development ecosystems
  • Primary productivity advantages and safety considerations

Initiating with Cursor

  • Installation and configuration procedures for Cursor
  • Establishing connections with Git and major code repositories
  • Navigating the user interface and understanding core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions effectively
  • Crafting prompts to optimize AI output
  • Adjusting AI behavior to align with project standards

Advanced Editing and Refactoring

  • Implementing AI-driven refactor and edit recommendations
  • Using the “Edit with AI” feature for swift code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Employing the integrated chat feature for code comprehension and debugging
  • Creating and reviewing documentation with AI assistance
  • Addressing code challenges using contextual insights

Secure Usage and Verification of AI Suggestions

  • Assessing accuracy and avoiding unconditional acceptance
  • Best practices for version control and code review processes
  • Maintaining security and compliance in AI-assisted workflows

Team Collaboration and Workflow Streamlining

  • Efficient onboarding of teams into Cursor
  • Integrating Cursor with established CI/CD pipelines
  • Optimizing shared configurations and collaborative editing

Expanding Cursor Capabilities and Continuous Growth

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

Conclusion and Path Forward

Requirements

  • A solid grasp of fundamental programming principles
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java)
  • Comfort with navigating a code editor or 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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