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Course Outline

Introduction to AI-Enhanced Development

  • An overview of current trends in AI-assisted coding tools.
  • The position of Cursor within modern development ecosystems.
  • Primary productivity gains and associated safety considerations.

Getting Started with Cursor

  • Installation and configuration processes for Cursor.
  • Establishing connections to Git and major code repositories.
  • Navigating the user interface and understanding core functionalities.

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completion features.
  • Crafting effective prompts to maximize AI output quality.
  • Calibrating AI behavior to adhere to project-specific standards.

Smart Editing and Refactoring

  • Implementing AI-driven refactoring and editing recommendations.
  • Employing the “Edit with AI” feature for rapid code transformations.
  • Preserving code consistency and readability throughout changes.

In-Editor Chat and Documentation Support

  • Using the integrated chat interface for code comprehension and debugging.
  • Generating and validating documentation with AI assistance.
  • Addressing code issues through contextual insights.

Safely Verifying AI Suggestions

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

Team Collaboration and Workflow Optimization

  • Streamlining the onboarding process for teams adopting Cursor.
  • Integrating Cursor into existing CI/CD pipelines.
  • Refining shared settings to enhance collaborative editing experiences.

Extending Cursor and Continuous Learning

  • Incorporating third-party plugins and API integrations.
  • Staying current with new Cursor features and platform updates.
  • Exploring emerging trends in AI-driven software development.

Summary and Next Steps

Requirements

  • A foundational grasp of core programming principles.
  • Practical experience with at least one programming language (such as Python, JavaScript, or Java).
  • Working familiarity with standard code editors or IDEs.

Target Audience

  • Entry-level software developers.
  • Mid-level engineers looking to incorporate AI coding assistants into their toolkit.
  • Development teams transitioning to AI-enhanced workflows.
 14 Hours

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