Tool or Technology
TT0167

Gemini Code Assist in Action

Build, Debug & Accelerate Enterprise Development

Gemini Code Assist
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Gemini Code Assist across supported IDEs for code generation, completion, explanation, refactoring, debugging, testing, and software maintenance.
  • Apply structured prompting and codebase-context techniques to improve the relevance, quality, and maintainability of AI-generated code.
  • Use Agent Mode to plan and execute complex multi-step development tasks using project context, system tools, and approved MCP integrations.
  • Apply Gemini Code Assist Enterprise capabilities such as private-repository Code Customization to align suggestions with organisational libraries, APIs, patterns, and coding standards.
  • Implement appropriate testing, review, permissions, source controls, privacy, security, and human approval practices for enterprise AI-assisted software development.

Technology covered

Gemini Code Assist Standard & EnterpriseGemini Code Assist ChatCode CompletionCode GenerationSmart ActionsCode TransformationLocal Codebase AwarenessAgent ModeContext FilesCustom Rules & CommandsMCP ServersGit IntegrationGemini Code Assist on GitHubEnterprise Code Customization

Who should attend

  • Software Developers
  • Software Engineers
  • Frontend Developers
  • Backend Developers
  • Full-Stack Developers
  • Java, Python, JavaScript & TypeScript Developers
  • Android Developers
  • Cloud Application Developers
  • QA & Test Automation Engineers
  • DevOps & Platform Engineers
  • Technical Leads
  • Solution Architects & Enterprise Development Teams

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with functions, classes, application logic, APIs, and source-code structures
  • Basic experience with Git and repository-based software development
  • Familiarity with VS Code, JetBrains IDEs, Android Studio, or another supported development environment
  • Basic understanding of debugging and software-testing practices
  • Basic awareness of Generative AI and prompting is beneficial
  • Familiarity with APIs and developer tools is helpful for MCP activities
  • Appropriate Gemini Code Assist Standard or Enterprise access should be available for practical exercises
  • Completion of shorter Gemini Code Assist programmes is not required

TOC Modules

Concepts
  • Understanding Gemini Code Assist Standard and Enterprise within the software-development lifecycle
  • Understanding AI-assisted coding versus agentic software-development workflows
  • Understanding IDE-based code completion, generation, chat, transformations, and Agent Mode
  • Understanding supported development environments and common language ecosystems
  • Understanding the relationship between developer input, project context, generated code, and human validation
Practical activities
  • Navigating Gemini Code Assist within a supported IDE
  • Exploring Chat, code completion, and contextual AI assistance
  • Asking Gemini to explain an existing source-code file
  • Completing a small development task using AI-assisted workflows
  • Comparing traditional and Gemini-assisted development approaches

Scenarios

Enterprise Requirement to Production-Ready Feature

Business Requirement → Codebase Context → Structured Prompt → Agent Mode → Implementation Plan → Enterprise Code Customization → Feature Development → Unit & Integration Tests → GitHub Review → Human Approval

Participants use Gemini Code Assist to understand an enterprise application, plan and implement a new feature using approved organisational coding patterns, validate the implementation, and prepare it for controlled repository integration.

Production Defect to Verified Resolution

Production Error → Logs & Stack Trace → Codebase Analysis → Root-Cause Hypotheses → Agent-Assisted Fix → Regression Tests → Code Review → Security Review → Verified Resolution

Participants investigate a realistic application failure using Gemini Code Assist, identify the underlying cause, implement a scoped correction, generate relevant tests, and validate the change before release.

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