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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 modern development environments.
- Key productivity benefits and safety considerations.
Getting Started with Cursor
- Installing and configuring Cursor.
- Connecting to Git and popular code repositories.
- Understanding the user interface and core features.
Using AI Code Completion and Inline Suggestions
- Working with context-aware code completions.
- Prompting effectively for better AI results.
- Fine-tuning AI behavior to align with project standards.
Smart Editing and Refactoring
- Applying AI-driven refactor and edit suggestions.
- Using “Edit with AI” for rapid transformations.
- Maintaining code consistency and readability.
In-Editor Chat and Documentation Assistance
- Using the built-in chat for code understanding and debugging.
- Generating and reviewing documentation with AI.
- Resolving code issues with contextual insights.
Safe Use and Verification of AI Suggestions
- Evaluating correctness and avoiding blind acceptance.
- Best practices for version control and review processes.
- Ensuring security and compliance in AI-assisted workflows.
Team Collaboration and Workflow Optimization
- Onboarding teams to Cursor efficiently.
- Integrating Cursor with existing CI/CD pipelines.
- Optimizing shared settings and collaborative editing.
Extending Cursor and Continuous Learning
- Integrating third-party plugins and APIs.
- Adapting to new Cursor features and updates.
- Exploring future trends in AI-driven software development.
Summary and Next Steps
Requirements
- A foundational understanding of programming concepts.
- Experience with at least one programming language (e.g., Python, JavaScript, or Java).
- Familiarity with using a code editor or Integrated Development Environment (IDE).
Audience
- Junior software developers.
- Mid-level engineers looking to integrate AI coding assistants.
- Development teams adopting AI-powered workflows.
14 Hours
