Role-Based Programme
RB0887

Claude Code for Quality Management

AI-Assisted Testing, Defect Analysis & Software Quality Improvement

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Claude Code for software testing, quality analysis, defect investigation, and validation activities.
  • Use codebase-aware AI assistance to understand application behaviour, requirements, dependencies, and potential quality risks.
  • Apply Claude Code to generate and strengthen tests, investigate failures, analyse code-quality concerns, and support controlled remediation.
  • Create reusable workflows connecting requirements, code changes, defects, regression testing, and release-quality checks.
  • Apply human validation, evidence traceability, security, and quality governance when using AI-generated tests, findings, and fixes.

Tools covered

Claude CodeTerminal & IDE InterfacesCodebase AnalysisPlan ModeTest GenerationBug InvestigationRefactoringGit IntegrationCLAUDE.mdHooks

Who should attend

  • Quality Assurance Managers
  • Software Quality Engineers
  • QA Engineers
  • Test Engineers
  • Test Analysts
  • Test Automation Engineers
  • QA Leads
  • Application Quality Professionals
  • Software Validation Professionals
  • Engineering Excellence Professionals
  • Release Quality Professionals
  • Software Process Improvement Teams

Prerequisites & Participant Readiness

  • Basic understanding of software testing and quality-assurance activities
  • Familiarity with requirements, test cases, defects, and regression testing
  • Basic ability to read source code is helpful
  • Familiarity with Git or development environments is beneficial
  • No advanced programming or AI expertise required
  • No previous Claude Code experience required

TOC Modules

Concepts
  • Understanding Claude Code as an agentic coding tool that can inspect codebases, edit files, run commands, and work with development tools
  • Understanding how Claude Code supports testing, debugging, refactoring, and quality activities
  • Mapping Requirement → Code → Test → Defect → Fix → Verification
  • Understanding where AI assistance ends and QA accountability begins
Practical activities
  • Exploring a sample application with Claude Code
  • Asking Claude to explain application functionality and architecture
  • Identifying areas requiring quality validation

Scenarios

Feature Requirement to Quality Validation

Feature Requirement → Claude Code Analysis → Acceptance Criteria → Test Scenarios → Generated Tests → Test Execution → Defects → QA Review

Participants use Claude Code to understand a new application feature, generate candidate test coverage, execute tests, and identify quality gaps before release.

Production Defect to Verified Fix

Reported Defect → Reproduction Evidence → Claude Code Investigation → Root-Cause Hypothesis → Developer Validation → Fix → Regression Tests → Quality Closure

Participants investigate a realistic software defect using Claude Code, validate the technical cause with evidence, review the proposed correction, and complete regression testing before human-approved closure.

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