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Course Outline

Introduction to AI-Enhanced Development

  • Overview of AI-assisted coding tools and current industry trends
  • The role of Cursor in contemporary development environments
  • Key productivity advantages and critical safety considerations

Getting Started with Cursor

  • Installing and configuring the Cursor environment
  • Establishing connections to Git and major code repositories
  • Familiarizing with the user interface and essential features

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Crafting effective prompts to achieve superior AI results
  • Adjusting AI behavior to align with project-specific standards

Smart Editing and Refactoring

  • Implementing AI-driven refactor and edit recommendations
  • Employing “Edit with AI” for swift code transformations
  • Maintaining code consistency and readability throughout the process

In-Editor Chat and Documentation Assistance

  • Using the integrated chat feature for code comprehension and debugging
  • Creating and reviewing documentation with AI support
  • Addressing code issues through contextual insights

Safe Utilization and Verification of AI Suggestions

  • Critically evaluating accuracy to prevent blind acceptance
  • Adhering to best practices for version control and code review processes
  • Ensuring security and compliance within AI-assisted workflows

Team Collaboration and Workflow Optimization

  • Efficiently onboarding teams to the Cursor platform
  • Integrating Cursor with established CI/CD pipelines
  • Optimizing shared configurations and collaborative editing features

Extending Cursor and Continuous Learning

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

Summary and Next Steps

Requirements

  • A foundational grasp of basic programming concepts
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java)
  • Comfortable familiarity with using a code editor or IDE

Target Audience

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

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