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Course Outline

Introduction to AI-Driven Development

  • Survey of AI-assisted coding tools and emerging trends
  • The role of Cursor in contemporary development environments
  • Primary productivity gains and associated safety considerations

Initial Setup with Cursor

  • Installing and configuring Cursor
  • Linking with Git and widely used code repositories
  • Navigating the interface and understanding core functionalities

Leveraging AI Code Completion and Inline Recommendations

  • Utilizing context-sensitive code completions
  • Formulating effective prompts to optimize AI output
  • Adjusting AI behavior to align with project-specific standards

Intelligent Editing and Refactoring

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

In-Editor Chat and Documentation Support

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

Securing and Validating AI Recommendations

  • Verifying accuracy and avoiding uncritical adoption
  • Best practices for version control and code review workflows
  • Maintaining security and compliance within AI-assisted processes

Team Collaboration and Workflow Refinement

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

Expanding Cursor Capabilities and Ongoing Learning

  • Integrating third-party plugins and APIs
  • Adapting to new Cursor features and updates
  • Exploring future directions in AI-driven software engineering

Wrap-Up and Future Actions

Requirements

  • Foundational knowledge of core programming concepts
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java)
  • Comfort with using a code editor or IDE

Intended Audience

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

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