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Course Outline

09:00 – 09:15 — Welcome & Overview

  • Day’s objectives, technical environment check, 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 separating planning, execution, and review yields superior results compared to using a single prompt
  • A decision framework to guide the rest of the session

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 these distinctions matter
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: driving 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 rules, and team conventions
  • Skills and hooks: creating reusable slash-command workflows and event-driven automation
  • Sub-agents: how Claude Code delegates parallel work internally
  • MCP: connecting external tools — such as GitHub, databases, and internal APIs — while maintaining security boundaries
  • Hands-on activity: configuring Claude Code and personalising your own setup

12:15 – 12:45 — Lunch Break

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

  • Delegating implementation tasks with sufficient context and acceptance criteria
  • Iterating on results: knowing when to accept and when to redirect
  • Hands-on activity: implementing a real feature from start to finish

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

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

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

  • Generating architecture decisions and Architecture Decision Records (ADRs) from requirements
  • Exploring design alternatives and identifying trade-offs
  • Hands-on activity: 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

  • Strong proficiency in at least one programming language
  • Comfortability working within a terminal or command-line interface
  • Fundamental Git knowledge (including commits, branches, and pull requests)
  • A laptop with an active internet connection – a Claude Pro account is required (setup instructions will be provided upon registration)
 7 Hours

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