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Course Outline

Introduction to AI-Enhanced Development

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

Getting Started with Cursor

  • Installation and initial configuration of Cursor
  • Connecting to Git and popular code repositories
  • Familiarising oneself with the user interface and core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilising context-aware code completions
  • Crafting effective prompts to enhance AI output quality
  • Calibrating AI behaviour to align with project standards

Smart Editing and Refactoring

  • Applying AI-driven recommendations for refactoring and editing
  • Utilising "Edit with AI" for swift code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Employing the built-in chat feature for code comprehension and debugging
  • Generating and reviewing documentation with the aid of AI
  • Resolving code issues using contextual insights

Safe Usage and Verification of AI Suggestions

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

Team Collaboration and Workflow Optimisation

  • Efficiently onboarding teams to the Cursor platform
  • Integrating Cursor with existing CI/CD pipelines
  • Optimising shared settings for collaborative editing

Extending Cursor and Continuous Learning

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

Summary and Next Steps

Requirements

  • A foundational understanding of basic programming concepts
  • Practical experience with at least one programming language (e.g., Python, JavaScript, or Java)
  • Familiarity with operating a code editor or Integrated Development Environment (IDE)

Target Audience

  • Junior software developers
  • Mid-level engineers aiming to incorporate AI coding assistants into their workflow
  • Development teams transitioning to AI-powered development processes
 14 Hours

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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