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Course Outline

Intro to AI-Enhanced Development

  • Survey of AI-assisted coding tools and emerging trends
  • The position of Cursor within contemporary development environments
  • Essential productivity advantages and safety protocols

Initializing Cursor

  • Setup and configuration of Cursor
  • Linking with Git and mainstream code repositories
  • Navigating the user interface and core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-sensitive code completions
  • Crafting effective prompts to maximize AI output
  • Adjusting AI behavior to align with project specifications

Advanced Editing and Refactoring

  • Applying 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

  • Using integrated chat features for code comprehension and debugging
  • Creating and auditing documentation with AI assistance
  • Addressing code issues through contextual analysis

Secure Utilization and Validation of AI Recommendations

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

Team Collaboration and Workflow Enhancement

  • Efficiently onboarding teams to Cursor
  • Integrating Cursor with established CI/CD pipelines
  • Refining shared settings and collaborative editing features

Expanding Cursor and Continuous Development

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

Recap and Path Forward

Requirements

  • A foundational understanding of core programming concepts
  • Proficiency in at least one programming language (such as Python, JavaScript, or Java)
  • Basic familiarity with operating a code editor or Integrated Development Environment (IDE)

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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