Tool or Technology
TT0161

Claude Code Unlocked

Understand, Build & Debug with AI Agents

Claude Code
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand Claude Code as an agentic coding tool for working directly with software repositories and development environments.
  • Explore how Claude Code can understand codebases, plan changes, generate and modify code, debug issues, and execute tests.
  • Develop awareness of effective task instructions and repository-context techniques for improving AI-assisted development.
  • Experience practical Claude Code workflows from code exploration through implementation, testing, and review.
  • Recognise responsible practices related to permissions, security, generated code, testing, source control, and developer oversight.

Technology covered

Claude CodeClaude Code CLIIDE IntegrationPlan ModeCLAUDE.mdCodebase ContextTerminal ToolsGitTest Execution

Who should attend

  • Software Developers
  • Software Engineers
  • Frontend Developers
  • Backend Developers
  • Full-Stack Developers
  • Application Developers
  • QA & Test Automation Engineers
  • DevOps & Platform Engineers
  • Technical Leads
  • Solution & Application Architects
  • Engineering & Product Development Teams

Prerequisites & Participant Readiness

  • Basic programming knowledge in at least one programming language
  • Familiarity with source files, functions, classes, and software-development concepts
  • Basic command-line or terminal familiarity
  • Basic understanding of Git and source-control concepts is helpful
  • Access to a sample code repository is recommended for practical exercises
  • No previous Claude Code experience required

TOC Modules

Concepts
  • Understanding Generative AI and coding agents in modern software development
  • Understanding Claude Code as an agentic coding tool that works with the terminal and repository
  • Understanding the Read → Plan → Act → Observe agentic workflow
  • Exploring common applications across code understanding, feature development, debugging, testing, and maintenance
  • Understanding the difference between AI autocomplete and delegated coding tasks
Practical activities
  • Launching Claude Code within a sample repository
  • Asking Claude Code to explore and explain the project structure

Scenarios

Feature Request to Tested Code Change

Feature Requirement → Repository Exploration → Plan Mode → Claude Code Implementation → Test Execution → Git Review → Developer Validation

Participants use Claude Code to understand an existing codebase, plan a small enhancement, implement the required change, and validate it through testing and source-control review, improving development productivity while maintaining developer control.

Software Defect to Verified Resolution

Bug Report → Codebase & Error Context → Root-Cause Investigation → Proposed Fix → Automated Tests → Human Review → Verified Resolution

Participants use Claude Code to investigate a realistic software defect, trace the relevant code, implement a targeted correction, and verify the result through tests and developer review.

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