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 Duration 14 hours (2 days)

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 essential safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Linking Cursor to Git and widely used code repositories
  • Exploring the user interface and core functionalities

Utilising AI Code Completion and Inline Suggestions

  • Interacting with context-aware code completions
  • Formulating effective prompts to achieve superior AI outcomes
  • Calibrating AI behaviour to adhere to project-specific standards

Smart Editing and Refactoring

  • Applying AI-driven refactoring and editing recommendations
  • Leveraging the “Edit with AI” feature for swift transformations
  • Preserving code consistency and maintainability

In-Editor Chat and Documentation Support

  • Using the integrated chat interface for code comprehension and debugging
  • Generating and scrutinising documentation with AI assistance
  • Resolving code challenges through contextual insights

Safe Application and Verification of AI Suggestions

  • Assessing code correctness to prevent uncritical acceptance
  • Best practices for version control and code review procedures
  • Upholding security and compliance standards in AI-assisted workflows

Team Collaboration and Workflow Enhancement

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

Extending Cursor and Continuous Development

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

Summary and Next Steps

Requirements

  • A solid grasp of fundamental programming principles
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java)
  • Comfort in navigating a code editor or integrated development environment

Target Audience

  • Entry-level software developers
  • Mid-career engineers aiming to incorporate AI coding assistants
  • Development teams transitioning to AI-powered operational workflows

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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