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Course Outline

09:00 – 09:15 — Welcome & Overview

  • Day objectives, technical setup verification, and introductions

09:15 – 10:00 — Module 1: AI Code Quality & the Plan–Execute–Review Principle

  • Five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow structure
  • The benefits of separating planning, execution, and review stages versus relying on a single prompt
  • A decision framework to guide activities throughout the day

10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm

  • Differentiating Claude Code from Copilot, Cursor, and chat-based tools — and understanding the implications
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: executing a multi-file task from a single command

10:45 – 12:15 — Module 3: Setup & Personalisation: CLAUDE.md, Skills, Hooks, Agents & MCP

  • CLAUDE.md: encoding project memory, architecture rules, and team conventions
  • Skills and hooks: building reusable slash-command workflows and event-driven automation
  • Sub-agents: how Claude Code manages parallel work internally
  • MCP: connecting external tools — such as GitHub, databases, and internal APIs — while maintaining security boundaries
  • Hands-on: configuring Claude Code and tailoring your personal setup

12:15 – 12:45 — Lunch Break

12:45 – 13:45 — Case Study 1: Writing Code with Claude Code

  • Delegating implementation tasks with clear context and acceptance criteria
  • Iterating on results: knowing when to accept outputs or redirect the process
  • Hands-on: implementing a real feature from start to finish

13:45 – 14:45 — Case Study 2: Performing Code Review with Claude Code

  • Structuring review delegations focused on security, design, and performance
  • Conducting multi-file reviews with traceability — tracking changes, rationale, and verification steps
  • Hands-on: reviewing actual code submissions from participants

14:45 – 15:45 — Case Study 3: Designing with Claude Code

  • Generating architecture decisions and Architecture Decision Records (ADRs) based on requirements
  • Evaluating design alternatives and identifying trade-offs
  • Hands-on: designing a component or feature using Claude Code

15:45 – 16:15 — Recap & Q&A

  • Summary of key takeaways and commitment to three concrete actions each participant will implement
  • Open question-and-answer session
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Requirements

  • Proficiency in at least one programming language
  • Familiarity with terminal/command-line environments
  • Basic Git skills (commits, branches, pull requests)
  • A laptop with internet access — a Claude Pro account is required (registration instructions will be provided)
 7 Hours

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