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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

  • The five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow design
  • Why decoupling planning, execution, and review yields superior results compared to relying on single prompts
  • A decision-making framework to guide the rest of the day

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

  • How Claude Code differs from Copilot, Cursor, and chat-based tools — and why this distinction is critical
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: executing a multi-file task from a single instruction

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

  • CLAUDE.md: encoding project memory, architecture guidelines, and team conventions
  • Skills and hooks: building reusable slash-command workflows and event-driven automation
  • Sub-agents: how Claude Code internally delegates parallel tasks
  • MCP: connecting external tools — including GitHub, databases, and internal APIs — while maintaining security boundaries
  • Hands-on exercise: configuring Claude Code and customizing your setup

12:15 – 12:45 — Lunch Break

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

  • Delegating implementation tasks with clear context and acceptance criteria
  • Iterating on outputs: knowing when to accept suggestions and when to redirect the agent
  • Hands-on exercise: implementing a real feature end-to-end

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

  • Structuring a review delegation: focusing on security, design, and performance
  • Multi-file review with traceability — understanding what changed, why, and what to verify
  • Hands-on exercise: reviewing actual code provided by participants

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

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

15:45 – 16:15 — Recap & Q&A

  • Summary of key takeaways and three concrete actions each participant commits to implementing
  • Open Q&A session
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Requirements

  • Proficient experience with at least one programming language
  • Comfortability using a terminal or command-line interface
  • Fundamental understanding of Git (commits, branches, pull requests)
  • A laptop with an active internet connection — a Claude Pro account is required (setup instructions provided upon registration)
 7 Hours

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