Tool or Technology
TT0163

Claude Code in Action

Build, Debug & Orchestrate Agentic Development Workflows

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

Programme Objectives

  • Develop functional proficiency in using Claude Code to understand repositories, implement features, refactor applications, debug failures, create tests, and review software changes.
  • Apply effective task definition, context engineering, CLAUDE.md instructions, memory, and planning techniques to improve performance on complex development work.
  • Use subagents, background execution, and parallel-agent workflows to divide and coordinate larger engineering tasks.
  • Build reusable engineering capabilities using Skills, Hooks, MCP integrations, GitHub workflows, and project-level configuration.
  • Apply testing, checkpoints, permissions, least-privilege access, code review, and human approval to secure and reliable agentic software development.

Technology covered

Claude CodeClaude Code CLIVS Code & JetBrains IntegrationsClaude Code WebCLAUDE.mdAuto MemoryPlan ModeCheckpointsSubagentsBackground AgentsAgent TeamsAgent SkillsHooksMCPGitHub ActionsPermission Controls

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of at least one programming language
  • Familiarity with application codebases, files, modules, dependencies, and APIs
  • Basic experience with Git and repository-based development
  • Familiarity with terminal or command-line usage is recommended
  • Basic understanding of debugging and software-testing practices
  • Familiarity with an IDE such as VS Code or a JetBrains IDE is beneficial
  • Basic understanding of Generative AI and prompting is helpful
  • Appropriate Claude Code access and an approved development repository should be available for hands-on exercises
  • No completion of shorter Claude Code programmes is required

TOC Modules

Concepts
  • Understanding Claude Code as an agentic software-development environment
  • Understanding the agentic loop: inspect, reason, modify, execute, verify, and iterate
  • Understanding Claude Code across CLI, IDE, web, desktop, and remote workflows
  • Understanding access to project files, terminal commands, Git state, and configured tools
  • Differentiating conversational coding assistance from autonomous development tasks
  • Understanding developer accountability for AI-generated changes
Practical activities
  • Starting Claude Code within an approved development project
  • Asking Claude to explore and explain an unfamiliar repository
  • Running a simple development task from requirement to verified change
  • Comparing manual, assisted, and agentic development approaches

Scenarios

Product Requirement to Production-Ready Feature

Product Requirement → Repository Exploration → CLAUDE.md Context → Plan Mode → Implementation Plan → Development → Test Subagent → Hooks → Code Review → GitHub PR → Human Approval

Participants use Claude Code throughout a realistic development lifecycle, from understanding an unfamiliar repository through planning, implementation, testing, automated quality checks, and final repository integration.

Complex Production Defect to Verified Resolution

Production Failure → Logs & Repository Context → Parallel Investigation → Debugging Subagent → Root-Cause Identification → Targeted Fix → Regression Tests → Checkpoint / Diff Review → Verified Resolution

Participants use Claude Code's repository intelligence and delegated-agent capabilities to investigate competing failure hypotheses, identify the underlying cause, implement a controlled correction, and validate the result before release.

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Instructor-ledVirtualHybrid

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