Get in Touch

Course Outline

Introduction to AI-Augmented Development

  • Overview of AI-assisted coding tools and industry trends.
  • The role of Cursor in contemporary development ecosystems.
  • Core productivity advantages and essential safety considerations.

Getting Started with Cursor

  • Installation and configuration procedures for Cursor.
  • Linking Cursor with Git and major code repositories.
  • Navigating the interface and exploring core functionalities.

Leveraging AI Code Completion and Inline Hints

  • Utilizing context-aware code completion features.
  • Effective prompting techniques to enhance AI outcomes.
  • Adjusting AI behavior to align with project-specific standards.

Intelligent Editing and Refactoring

  • Implementing AI-driven refactor and edit recommendations.
  • Employing the “Edit with AI” feature for rapid code transformations.
  • Preserving code consistency and readability throughout edits.

In-Editor Chat and Documentation Support

  • Using the integrated chat feature for code comprehension and debugging.
  • Creating and reviewing technical documentation with AI assistance.
  • Addressing code issues using contextual insights.

Safe Utilization and Verification of AI Proposals

  • Assessing accuracy and avoiding uncritical acceptance of suggestions.
  • Best practices for version control and code review processes.
  • Maintaining security and compliance standards in AI-assisted workflows.

Team Collaboration and Workflow Enhancement

  • Efficiently onboarding teams to the Cursor environment.
  • Integrating Cursor with established CI/CD pipelines.
  • Optimizing shared configurations and collaborative editing experiences.

Expanding Cursor Capabilities and Continuous Learning

  • Incorporating third-party plugins and API connections.
  • Adapting to new features and updates in Cursor.
  • Exploring emerging trends in AI-driven software development.

Summary and Future Directions

Requirements

  • A solid grasp of fundamental programming principles.
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java).
  • Proficiency in using code editors or Integrated Development Environments (IDEs).

Target Audience

  • Entry-level software developers.
  • Intermediate engineers aiming to incorporate AI coding assistants into their toolkit.
  • Development teams embracing AI-driven work processes.
 14 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories