Tool or Technology
TT0040

Mastering Cursor

Advanced Agentic Development, Automation & AI Engineering Workflows

Cursor
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in using Cursor for codebase understanding, architecture, feature development, debugging, refactoring, testing, and code review.
  • Architect reusable AI-assisted development workflows using Rules, Skills, Subagents, Plugins, MCP integrations, Hooks, and repository context.
  • Apply Cursor Agents and Cloud Agents to delegate complex, long-running, and parallel software-engineering tasks while maintaining developer oversight.
  • Automate repetitive engineering activities including testing, pull-request maintenance, issue investigation, code-quality checks, and development workflows.
  • Establish secure and governed AI-engineering practices covering permissions, secrets, tool execution, code quality, human approval, and enterprise controls.

Technology covered

CursorCursor TabAgentPlan ModeRulesAGENTS.mdAgent SkillsCustom ModesSubagentsPluginsModel Context Protocol (MCP)HooksCursor CLICloud AgentsBugbotAutomations & Self-Hosted Agents

Who should attend

  • Software Developers & Application Engineers
  • Full-Stack Developers
  • Frontend & Backend Developers
  • Technical Leads & Engineering Leads
  • Software Architects & Solution Architects
  • DevOps & Platform Engineers
  • Cloud Engineers
  • QA & Test Automation Engineers
  • Site Reliability Engineers
  • Engineering Managers
  • Application Modernisation Teams
  • Developer Productivity Teams
  • AI-Assisted Development Teams
  • Enterprise Engineering Teams
  • Technology & Innovation Professionals

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with software development, debugging, testing, and version-control concepts
  • Basic experience working with Git repositories
  • Familiarity with an IDE or code editor
  • Basic command-line knowledge is recommended
  • Familiarity with APIs and development tooling is beneficial for MCP and integration modules
  • No previous Cursor course attendance is required
  • Availability of some advanced capabilities may depend on Cursor plan, organisation settings, development environment, and infrastructure configuration

TOC Modules

Concepts
  • Understanding Cursor as an AI editor and coding-agent environment
  • Understanding Cursor Tab, Agent, Cloud Agents, and AI-assisted development
  • Understanding repository context, model selection, tools, and agent execution
  • Differentiating code completion, conversational assistance, and autonomous agentic development
  • Understanding limitations of AI-generated code and developer accountability
Practical activities
  • Exploring Cursor across realistic software-development tasks
  • Comparing traditional, AI-assisted, and agent-driven development approaches
  • Identifying high-value Cursor opportunities across the software-development lifecycle

Scenarios

Requirement-to-Production Feature Development

Business Requirement → Codebase Analysis → Plan Mode → Cursor Agent → Parallel Subagents → Implementation → Automated Testing → Code Review → Human Validation → Pull Request

Participants design an end-to-end AI-assisted development workflow that transforms a business requirement into tested, reviewed, and pull-request-ready software while maintaining engineering standards and developer oversight.

Autonomous Engineering Maintenance

Repository Event / Scheduled Requirement → Cloud Agent → Rules & Skills → MCP / Development Tools → Investigation → Code Changes → CI Validation → PR Monitoring → Human Approval

Participants create an advanced engineering workflow for recurring activities such as CI failure remediation, dependency maintenance, bug investigation, or repository-quality improvement using Cloud Agents and controlled automation.

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Instructor-ledVirtualHybrid

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