Role-Based Programme
RB0899

Gemini Code Assist for Quality Management

AI-Assisted Testing, Code Quality & Defect Analysis

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

Programme Objectives

  • Understand how Gemini Code Assist can support software quality, testing, defect investigation, and code-review activities.
  • Explore AI-assisted techniques for understanding application code, requirements, expected behaviour, and potential quality risks.
  • Use Gemini Code Assist to develop test scenarios, identify edge cases, investigate defects, and suggest controlled code improvements.
  • Experience practical workflows connecting requirements, code, tests, defects, fixes, and validation.
  • Recognise that test approval, root-cause confirmation, quality acceptance, and release decisions must remain human-led.

Tools covered

Gemini Code AssistIDE ChatCode ExplanationCode GenerationCode CompletionsSmart ActionsProject ContextTest Generation AssistanceCode Fixing & RefactoringAgent Mode

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of software-quality or testing activities
  • Familiarity with requirements, test cases, defects, and application behaviour
  • Basic ability to read source code is helpful but not mandatory
  • Familiarity with an IDE is helpful
  • No AI or machine-learning expertise required
  • No previous Gemini Code Assist experience required

TOC Modules

Concepts
  • Understanding Gemini Code Assist and its role within software-development and quality workflows
  • Exploring chat, code explanation, generation, completion, and modification capabilities
  • Identifying suitable QA activities for AI assistance across development and testing
  • Understanding the difference between AI-generated suggestions and validated quality evidence
Practical activities
  • Exploring Gemini Code Assist using a sample application
  • Asking questions about selected code and application behaviour
  • Identifying potential quality areas requiring further testing

Scenarios

Requirement to Quality Validation

Feature Requirement → Gemini Code Assist → Code Understanding → Test Scenarios → Edge Cases → Test Execution → Quality Review

Participants use Gemini Code Assist to understand a feature implementation and convert requirements into structured test scenarios, improving test preparation while retaining human control over final validation.

Defect to Verified Resolution

Application Defect → Code Context → AI-Assisted Investigation → Possible Root Cause → Developer Validation → Fix → Regression Tests → QA Approval

Participants investigate a software defect using Gemini Code Assist, validate the identified cause with technical evidence, review a proposed fix, and define regression tests before quality closure.

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