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 Duration 14 hours

Course Outline

Introduction to AI-Enhanced Development

  • Survey of AI-assisted coding tools and current trends
  • The position of Cursor in contemporary development ecosystems
  • Key efficiency gains and safety protocols

Initial Setup with Cursor

  • Installation and configuration of Cursor
  • Linking Git and major code repositories
  • Navigating the user interface and core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Crafting effective prompts for superior AI outcomes
  • Calibrating AI behavior to adhere to project standards

Intelligent Editing and Refactoring

  • Implementing AI-driven refactoring and editing suggestions
  • Employing “Edit with AI” for swift code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Using built-in chat features for code comprehension and debugging
  • Creating and reviewing documentation with AI assistance
  • Troubleshooting code issues using contextual insights

Safe Utilization and Validation of AI Suggestions

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

Team Collaboration and Workflow Refinement

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

Extending Cursor and Ongoing Learning

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

Conclusion and Future Directions

Requirements

  • Foundational knowledge of programming principles
  • Proficiency in at least one programming language (such as Python, JavaScript, or Java)
  • Comfortable using a code editor or IDE

Target Audience

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

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