Role-Based Programme
RB0855

Codex for Quality Management

AI-Assisted Testing, Code Review & Quality Validation

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Codex can support software testing, code review, defect investigation, and quality-validation activities.
  • Explore AI-assisted approaches for generating test scenarios, analysing application changes, and identifying potential quality risks.
  • Experience practical workflows for defect investigation, regression planning, and release-readiness review.
  • Recognise the importance of human validation, traceability, security, and quality governance when using AI-assisted engineering tools.

Tools covered

OpenAI CodexCodebase ExplorationCode ReviewTest GenerationDebugging AssistanceGit WorkflowsTechnical Documentation

Who should attend

  • Quality Assurance Managers
  • QA Engineers
  • Software Test Engineers
  • Quality Engineers
  • Test Analysts
  • Test Leads
  • Automation Testing Professionals
  • Software Validation Professionals
  • Application Quality Professionals
  • Technical Quality Leads

Prerequisites & Participant Readiness

  • Basic understanding of software quality assurance and testing
  • Familiarity with test cases, defects, and software-development concepts
  • Basic awareness of source code is helpful
  • No advanced programming expertise required
  • No previous Codex experience required

TOC Modules

Concepts
  • Understanding Codex as an AI-assisted software engineering environment
  • Identifying applications across testing, review, debugging, and quality validation
  • Understanding AI-assisted QA versus independent human verification
  • Recognising where QA and engineering judgement remains essential
Practical activities
  • Exploring a sample application using Codex
  • Asking Codex to explain application behaviour and potential quality concerns

Scenarios

Application Change Quality Validation

Requirement → Code Change → Codex Review → Test Scenarios → Defect Identification → Fix Validation → Release Recommendation

Participants use Codex to review an application change, generate relevant tests, identify quality concerns, validate corrections, and prepare a structured release recommendation.

Defect Investigation to Regression Closure

Reported Defect → Codex Analysis → Possible Cause → Corrective Change → Retest → Regression Validation → Quality Closure

Participants use Codex to investigate a software defect, validate the proposed correction, and create quality evidence for controlled closure.

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