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Course Outline

09:00 – 09:15 — Welcome & Overview

  • Day’s objectives, technical setup verification, and participant introductions

09:15 – 10:00 — Module 1: AI Code Quality & the Plan–Execute–Review Principle

  • The five key levers influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow design
  • Why separating planning, execution, and review phases delivers superior results compared to single-prompt approaches
  • A decision framework to guide activities throughout 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 matters
  • The agentic cycle: read, plan, act, verify
  • Live demo: 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 rules, and team conventions
  • Skills and hooks: building reusable slash-command workflows and event-driven automation
  • Sub-agents: understanding how Claude Code internally delegates parallel work
  • MCP: connecting external tools (GitHub, databases, internal APIs) while establishing security boundaries
  • Hands-on exercise: configure Claude Code and personalise your environment

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 results and when to redirect
  • Hands-on exercise: implement a real feature end-to-end

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

  • Structuring review delegations covering security, design, and performance aspects
  • Multi-file reviews with traceability—tracking changes, rationale, and verification steps
  • Hands-on exercise: review actual code submitted by participants

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

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

15:45 – 16:15 — Recap & Q&A

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

  • Proven proficiency in at least one programming language
  • Comfort navigating terminal or command-line interfaces
  • Familiarity with Git fundamentals (commits, branches, pull requests)
  • Laptop with internet access – a Claude Pro account is mandatory (setup instructions provided upon registration)
 7 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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