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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 a single prompt
  • A decision-making framework to guide the remainder of the day

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

  • How Claude Code differs from tools like Copilot and Cursor, as well as chat-based assistants — and why this distinction is critical
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: orchestrating 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, architectural rules, and team conventions
  • Skills and hooks: creating reusable slash-command workflows and event-driven automation
  • Sub-agents: understanding how Claude Code delegates parallel work internally
  • MCP: connecting external tools — such as GitHub, databases, and internal APIs — while establishing security boundaries
  • Hands-on exercise: configuring Claude Code and personalising your setup

12:15 – 12:45 — Lunch Break

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

  • Delegating implementation tasks with adequate context and acceptance criteria
  • Iterating on generated results: knowing when to accept output and when to redirect
  • Hands-on exercise: implementing a real feature end-to-end

13:45 – 14:45 — Case Study 2: Conducting Code Reviews with Claude Code

  • Structuring review delegations across security, design, and performance dimensions
  • Conducting multi-file reviews with full traceability — understanding what changed, why, and what to verify
  • Hands-on exercise: reviewing actual code contributed by participants

14:45 – 15:45 — Case Study 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

  • Key takeaways and three concrete actions each participant commits to implementing
  • Open floor for questions and answers
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Requirements

  • Substantial experience in at least one programming language
  • Comfort with working in a terminal or command-line environment
  • Basic proficiency with Git (commits, branches, and pull requests)
  • Laptop equipped with internet access — a Claude Pro account is required (instructions will be provided upon registration)
 7 Hours

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