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Course Outline

09:00 – 09:15 — Welcome & Overview

  • Course 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 choice, codebase context, tooling, prompt precision, and workflow design
  • Why separating planning, execution, and review stages yields superior results compared to single-prompt approaches
  • A decision-making framework to guide your work throughout the day

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

  • Understanding how Claude Code differs from tools like Copilot and Cursor, and why this distinction is crucial
  • 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 guidelines, and team conventions
  • Skills and hooks: building reusable slash-command workflows and event-driven automation
  • Sub-agents: understanding how Claude Code internally delegates parallel tasks
  • MCP (Model Context Protocol): connecting external tools such as GitHub, databases, and internal APIs while maintaining security boundaries
  • Hands-on exercise: configuring Claude Code and personalizing your development environment

12:15 – 12:45 — Lunch Break

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

  • Delegating implementation tasks by providing context and clear acceptance criteria
  • Iterating on generated results: knowing when to accept output and when to redirect the agent
  • Hands-on exercise: implementing a real-world feature from start to finish

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

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

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

  • Generating architecture decisions and Architectural Decision Records (ADRs) based on requirements
  • Exploring alternative designs and identifying key 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 commitment to three concrete improvements for each participant
  • Open question-and-answer session
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Requirements

  • Proven proficiency in at least one programming language
  • Comfort using a terminal or command-line interface
  • Fundamental knowledge of Git (commits, branches, pull requests)
  • A laptop with internet access and a Claude Pro account (setup instructions will be provided upon registration)
 7 Hours

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