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.
Duration 14 hours
Course Outline
The Architecture of the AI-Native IDE
- Understanding how Cursor is built on a VS Code fork with deep model integration.
- Comparing standard VS Code with extensions versus Cursor-native features.
- Cursor's model hosting capabilities, including Claude, GPT, and custom endpoints.
- An overview of the evolution from autocomplete to comprehensive agent workflows.
Composer and Multi-File Editing
- Initiating the Composer to plan changes across multiple files.
- Reviewing generated edits prior to acceptance or rejection.
- Managing undo functions and checkpoint states during extended Composer sessions.
- Validating builds following Composer-assisted modifications.
Context-Aware Chat and Smart References
- Utilizing @file and @codebase to refine chat context.
- Referencing specific functions, classes, and documentation files.
- Summarizing code intent before requesting changes.
- Preventing context overflow by narrowing down references.
Agent Mode and Autonomous Refactoring
- Activating agent mode using high-level prompts.
- Observing the agent’s planning, editing, testing, and iterative processes.
- Intervening when the agent deviates from the intended direction.
- Resolving merge conflicts resulting from agent-driven multi-file rewrites.
Installation and Model Configuration
- Installing Cursor on macOS, Windows, and Linux.
- Selecting and switching models based on task requirements.
- Using personal API keys instead of Cursor's shared hosting.
- Configuring high-context models for navigating large codebases.
Team Workspaces and Shared Context
- Establishing team workspaces and inviting members.
- Sharing custom rules, style guides, and context files.
- Setting default prompts for recurring team workflows.
- Monitoring usage and costs across the workspace.
Custom Rules and Prompts for Consistency
- Authoring .cursorrules for project-wide conventions.
- Automating code review comments via prompt engineering.
- Maintaining architecture decision records with agent support.
- Versioning rule files as part of the repository.
Integration with Version Control and CI
- Generating commit messages from diff summaries.
- Implementing 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 back to assumptions made by the agent.
- Using the chat panel to inquire about specific error occurrences.
- Performing regression testing after broad automated refactors.
- Managing hallucinated imports and missing dependencies.
Performance and Security
- Assessing 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.
- Addressing compliance requirements when using hosted models.
Summary and Transition to Advanced Topics
- Reviewing Cursor against other IDE-first AI tools.
- Developing a library of reusable prompts and rules.
- Staying current with Cursor's monthly release cycle.
Requirements
- Proficiency with a modern IDE such as VS Code or JetBrains.
- Programming experience in any language.
- Familiarity with fundamental LLM concepts and prompting techniques.
Target Audience
- Development teams assessing or implementing Cursor as their primary IDE.
- Engineering managers overseeing AI tooling procurement.
- Freelance developers looking to streamline client projects using Cursor.
