Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
AI-Native IDE Architecture
- Understanding how Cursor is built on a VS Code fork with deep model integration
- Comparing Cursor-native features against standard VS Code with extensions
- Cursor's model hosting capabilities: Claude, GPT, and custom endpoints
- Overview of the roadmap from autocomplete to full agent workflows
The Composer and Multi-File Editing
- Using the Composer to plan changes across multiple files
- Reviewing generated edits before accepting or rejecting them
- Managing undo and checkpoint states during long Composer sessions
- Testing builds after Composer-assisted modifications
Context-Aware Chat and Smart References
- Employing @file and @codebase to focus chat context
- Referencing specific functions, classes, and documentation files
- Summarizing code intent before requesting modifications
- Preventing context overflow by narrowing references
Agent Mode and Autonomous Refactoring
- Triggering agent mode with high-level prompts
- Observing the agent as it plans, edits, tests, and iterates
- Intervening when the agent deviates from the desired path
- Managing merge conflicts following agent-driven multi-file rewrites
Installation and Model Configuration
- Setting up Cursor on macOS, Windows, and Linux
- Selecting and switching models based on task type
- Using personal API keys instead of Cursor's shared hosting
- Configuring high-context models for navigating large codebases
Team Workspaces and Shared Context
- Creating team workspaces and inviting members
- Sharing custom rules, style guides, and context files
- Defining default prompts for recurring team workflows
- Monitoring usage and costs across the workspace
Custom Rules and Prompts for Consistency
- Writing .cursorrules for project-wide conventions
- Automating code review comments via prompt engineering
- Maintaining architecture decision records with agent assistance
- Versioning rule files as part of the repository
Integration with Version Control and CI
- Generating commit messages from diff summaries
- Using pre-commit prompts to run linters and type checkers
- Opening pull requests with AI-generated descriptions
- Addressing review comments with targeted changes within Cursor
Debugging Agent-Assisted Code
- Tracing runtime errors to agent-generated assumptions
- Using the chat panel to investigate specific error causes
- Performing regression testing after broad automated refactors
- Managing hallucinated imports and missing dependencies
Performance and Security
- Evaluating indexing speed and storage impact on large repositories
- Automatically excluding sensitive files from agent context
- Understanding Cursor's data retention and training opt-out policies
- Handling compliance requirements when using hosted models
Summary and Transitioning to Advanced Topics
- Recap of Cursor versus other IDE-first AI tools
- Building a library of reusable prompts and rules
- Staying current with Cursor's monthly release cadence
Requirements
- Familiarity with modern IDEs such as VS Code or JetBrains
- Programming experience in any language
- Basic understanding of LLM concepts and prompting
Target Audience
- Development teams evaluating or adopting Cursor as their primary IDE
- Engineering managers responsible for AI tooling procurement
- Freelance developers looking to accelerate client work with Cursor
14 Hours
