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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 drivers of outcome quality: model choice, codebase context, tooling, prompt precision, and workflow design
  • Why separating planning, execution, and review phases yields superior results compared to single-prompt approaches
  • A decision framework to guide your activities throughout the day

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

  • Distinguishing Claude Code from Copilot, Cursor, and chat-based tools — and understanding why this distinction is critical
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: executing a multi-file task via 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: Building reusable slash-command workflows and event-driven automation
  • Sub-agents: How Claude Code manages parallel work internally through delegation
  • MCP: Connecting external tools — GitHub, databases, internal APIs — while maintaining security boundaries
  • Hands-on practice: Configuring Claude Code and customizing 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 output and when to redirect the agent
  • Hands-on exercise: Implementing a real feature from start to finish

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

  • Structuring review delegations focusing on security, design, and performance
  • Conducting multi-file reviews with full traceability — tracking changes, rationale, and verification steps
  • Hands-on exercise: Reviewing real code contributed by participants

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

  • Generating architecture decisions and Architectural Decision Records (ADRs) from project 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 actionable commitments each participant makes moving forward
  • Open Q&A session
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Requirements

  • Strong proficiency in at least one programming language
  • Comfort with terminal / command line environments
  • Fundamental Git knowledge (commits, branches, pull requests)
  • Laptop with internet access — a Claude Pro account is required (setup instructions provided upon registration)
 7 Hours

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