Role-Based Programme
RB0333

Cursor for Quality Management

Build AI-Assisted Testing, Defect Analysis & Software Quality Workflows

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in applying Cursor across software testing, code-quality review, defect investigation, and release validation.
  • Use AI-assisted codebase understanding to identify affected components, dependencies, and areas requiring quality verification.
  • Create structured workflows for test-case generation, debugging, regression testing, defect correction, and pull-request review.
  • Apply Cursor Agent and Bugbot to strengthen software-quality assurance while maintaining independent human validation.
  • Maintain traceability, secure development practices, testing discipline, and human ownership of quality and release decisions.

Tools covered

CursorCursor AgentCodebase Search & ContextCursor RulesAGENTS.mdCloud AgentsBugbotGit / Pull Request Workflows

Who should attend

  • Quality Assurance Managers
  • Software Quality Engineers
  • QA Engineers
  • Test Engineers
  • Automation Test Engineers
  • SDET Professionals
  • Quality Analysts
  • Application Quality Professionals
  • Software Test Leads
  • Release Quality Professionals
  • Quality Engineering Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of software testing and quality-assurance processes
  • Familiarity with requirements, test cases, defects, and software-release workflows
  • Basic understanding of source code is helpful
  • Familiarity with Git or pull requests is beneficial
  • General awareness of generative AI is helpful
  • No previous Cursor course completion required

TOC Modules

Concepts
  • Understanding Cursor Agent and AI-assisted software-quality workflows
  • Exploring codebase search, file analysis, editing, terminal execution, and testing capabilities
  • Mapping AI support across Requirement → Code → Test → Review → Release
  • Differentiating AI-generated findings from validated software defects
Practical activities
  • Exploring a representative application and identifying quality-critical areas
  • Mapping Quality Activity → Cursor Capability → Human Validation → Outcome

Scenarios

Feature Change to Quality-Validated Release

Business Requirement → Acceptance Criteria → Codebase Impact Analysis → Cursor-Assisted Change → Test Generation → Bugbot Review → Defect Correction → Regression Testing → QA Approval

Participants validate a representative software enhancement from requirement through release readiness while ensuring AI-generated code, tests, and review findings receive independent quality and engineering validation.

Production Defect to Preventive Quality Improvement

Production Issue → Defect Evidence → Cursor-Assisted Investigation → Root-Cause Validation → Code Fix → Targeted Tests → Regression Review → Cursor Rule Update → Release Verification

Participants investigate a recurring software defect, validate the remediation, and convert lessons learned into reusable quality instructions to reduce similar defects in future development.

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