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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 gains and essential safety considerations.
Getting Started with Cursor
- Installation and configuration of Cursor.
- Connecting to Git and popular code repositories.
- Navigating the user interface and understanding core features.
Utilizing AI Code Completion and Inline Suggestions
- Leveraging context-aware code completions.
- Crafting effective prompts to optimize AI output.
- Customizing AI behavior to align with project standards.
Smart Editing and Refactoring
- Implementing AI-driven refactoring and editing suggestions.
- Using “Edit with AI” for rapid code transformations.
- Maintaining code consistency and readability.
In-Editor Chat and Documentation Support
- Using built-in chat features for code comprehension and debugging.
- Generating and reviewing documentation with AI assistance.
- Resolving code issues using contextual insights.
Safe Use and Verification of AI Suggestions
- Assessing code correctness and avoiding uncritical acceptance.
- Best practices for version control and code review processes.
- Ensuring security and compliance within AI-assisted workflows.
Team Collaboration and Workflow Optimization
- Efficiently onboarding teams to Cursor.
- Integrating Cursor into existing CI/CD pipelines.
- Optimizing shared settings and collaborative editing practices.
Extending Cursor and Continuous Learning
- Integrating third-party plugins and APIs.
- Adapting to new Cursor features and software updates.
- Exploring emerging trends in AI-driven software development.
Summary and Next Steps
Requirements
- A solid grasp of fundamental programming concepts.
- Hands-on experience with at least one programming language (such as Python, JavaScript, or Java).
- Comfort with using a code editor or Integrated Development Environment (IDE).
Target Audience
- Junior software developers.
- Mid-level engineers interested in integrating AI coding assistants.
- Development teams transitioning to AI-powered workflows.
14 Hours