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Course Outline
09:00 – 09:15 — Welcome & Overview
- Daily objectives, technical environment verification, and participant introductions.
09:15 – 10:00 — Module 1: AI Code Quality & the Plan–Execute–Review Principle
- Analysis of five critical determinants of output quality: model selection, codebase context, tooling infrastructure, prompt precision, and workflow design.
- Rationale for separating planning, execution, and review phases to enhance outcomes compared to single-prompt approaches.
- Decision-making framework to guide activities throughout the session.
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- Differentiation between Claude Code and other solutions, such as Copilot, Cursor, and chat-based tools, emphasizing operational significance.
- Overview of the agentic cycle: read, plan, act, and verify.
- Live demonstration of managing multi-file tasks through a single instruction.
10:45 – 12:15 — Module 3: Setup & Personalisation: CLAUDE.md, Skills, Hooks, Agents & MCP
- Utilizing CLAUDE.md to encode project memory, architectural standards, and team conventions.
- Development of reusable slash-command workflows and event-driven automation via skills and hooks.
- Mechanisms for internal parallel work delegation among sub-agents.
- Integration of external tools, including GitHub, databases, and internal APIs, using MCP while establishing security boundaries.
- Practical exercise: Configuring Claude Code and tailoring personal settings.
12:15 – 12:45 — Lunch Break
12:45 – 13:45 — Case Study 1: Writing Code with Claude Code
- Delegation of implementation tasks with defined context and acceptance criteria.
- Iterative result management: determining when to accept outputs versus when to redirect efforts.
- Practical exercise: Full lifecycle implementation of a functional requirement.
13:45 – 14:45 — Case Study 2: Conducting Code Review with Claude Code
- Structuring review delegation across security, design, and performance dimensions.
- Multi-file review processes ensuring traceability of changes, rationale, and verification steps.
- Practical exercise: Reviewing code samples provided by participants.
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generation of architecture decisions and Architecture Decision Records (ADRs) based on requirements.
- Evaluation of design alternatives and identification of trade-offs.
- Practical exercise: Component or feature design using Claude Code.
15:45 – 16:15 — Recap & Q&A
- Summary of key takeaways and commitment to three specific operational changes by each participant.
- Open forum for questions and answers.
Requirements
* Demonstrated proficiency in at least one programming language.
* Ability to effectively utilize terminal and command-line environments.
* Foundational understanding of Git workflows, including commits, branch management, and pull requests.
* Access to a laptop with reliable internet connectivity is required; participation necessitates a Claude Pro account, with registration protocols provided upon enrollment. This resource is designed for government use.
7 Hours
Testimonials (1)
"I learned the potential of the tool and gained sufficient skills to start using it for my work right away