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Course Outline

Foundations of AI-Enhanced Development

  • Survey of AI-assisted coding tools and industry trends
  • The position of Cursor within modern development landscapes
  • Core productivity gains and critical safety perspectives

Initial Setup with Cursor

  • Installation and configuration of Cursor
  • Linking with Git and mainstream code repositories
  • Navigating the interface and exploring primary features

Leveraging AI Code Completion and Inline Proposals

  • Utilizing context-sensitive code completions
  • Crafting effective prompts to maximize AI output
  • Adjusting AI behavior to adhere to project standards

Intelligent Editing and Refactoring

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

In-Editor Chat and Documentation Support

  • Utilizing the integrated chat for code comprehension and debugging
  • Creating and verifying documentation with AI assistance
  • Tackling code issues using contextual insights

Secure Usage and Validation of AI Suggestions

  • Assessing accuracy and avoiding unchecked acceptance
  • Adopting best practices for version control and code reviews
  • Upholding security and compliance in AI-supported processes

Team Synergy and Workflow Streamlining

  • Efficient onboarding strategies for teams adopting Cursor
  • Integrating Cursor into established CI/CD pipelines
  • Refining shared settings and collaborative editing setups

Extending Cursor and Continuous Development

  • Incorporating third-party plugins and API connections
  • Staying current with emerging Cursor features and updates
  • Investigating future trajectories in AI-driven software creation

Conclusion and Path Forward

Requirements

  • A foundational grasp of core programming principles
  • Proficiency in at least one programming language (such as Python, JavaScript, or Java)
  • Comfort with standard code editors or Integrated Development Environments (IDEs)

Target Audience

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

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