Role-Based Programme
RB0334
Cursor for Quality Management
AI-Assisted Quality Systems, CAPA Workflows & Controlled Digital Improvement
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in using Cursor to build, enhance, troubleshoot, and maintain digital quality-management applications and workflows.
- Translate inspection, non-conformance, CAPA, audit, corrective-action, and quality-reporting requirements into structured software changes.
- Use codebase-aware AI to understand existing quality applications, identify dependencies, implement controlled enhancements, and document changes.
- Build reusable standards for quality-system development using Cursor Rules, AGENTS.md, testing, Agent Review, and Bugbot.
- Apply evidence traceability, technical validation, security review, quality judgement, change control, and human approval before operational release.
Tools covered
CursorCursor AgentCodebase SearchIntegrated TerminalBrowser ToolsCursor RulesAGENTS.mdAgent ReviewBugbotBUGBOT.mdCloud AgentsGit / Pull Request Workflows
Who should attend
- Quality Managers
- Quality Assurance Professionals
- Quality Engineers
- Quality Systems Professionals
- Quality Control Professionals
- Quality Analysts
- Digital Quality Professionals
- Continuous Improvement Professionals
- Process Excellence Professionals
- CAPA Coordinators
- Quality Audit Professionals
- Technical Professionals Supporting Quality Systems
Prerequisites & Participant Readiness
- Working understanding of quality-management processes
- Familiarity with inspections, non-conformances, deviations, CAPA, audits, corrective actions, or quality reporting
- Basic understanding of digital applications and workflow systems
- Basic programming, scripting, or software-development knowledge is helpful
- Familiarity with Git or repository-based development is helpful but not mandatory
- No requirement to complete shorter Cursor courses
- Organisational requirements for regulated information, validated systems, source code, and change management should be followed
TOC Modules
Concepts
- Understanding Cursor Agent and AI-assisted software-development workflows
- Exploring file editing, codebase search, terminal execution, web research, and browser-assisted validation
- Mapping Quality Requirement → Codebase → Change → Test → Review → Release
- Identifying where AI assistance supports quality-system development versus accountable quality decisions
Practical activities
- Opening and analysing a sample quality-management application
- Asking Cursor Agent to explain application architecture and workflows
- Locating quality-related features and components
- Mapping quality processes to the existing software solution
Scenarios
Non-Conformance to Controlled CAPA Closure
Quality Event → NCR Requirement → Cursor Codebase Analysis → Digital Workflow Enhancement → Investigation → Human-Validated Root Cause → CAPA → Testing → Agent Review → Quality Approval → Closure
Participants enhance an existing quality application to manage a complete NCR and CAPA lifecycle while maintaining evidence traceability, controlled status transitions, testing, and authorised quality decisions.
Audit Finding to Validated Quality-System Improvement
Audit Finding → Change Requirement → Cursor Agent → Impact Analysis → Application Change → Automated Tests → Bugbot Review → Corrective Fixes → Quality Validation → Pull Request → Controlled Release
Participants use Cursor to convert an approved audit finding into a technically reviewed digital-system improvement while preserving requirements, code review, testing evidence, quality approval, and formal change control.
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