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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
- Five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow
- Why separating planning, execution, and review yields superior results compared to single-prompt approaches
- A decision 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 Copilot, Cursor, and chat-based tools — and why this distinction is critical
- The agentic cycle: read, plan, act, verify
- Live demonstration: driving 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: creating reusable slash-command workflows and event-driven automation
- Sub-agents: how Claude Code internally delegates parallel work
- MCP: connecting external tools — GitHub, databases, internal APIs — and establishing security boundaries
- Practical exercise: configure Claude Code and personalise your own setup
12:15 – 12:45 — Lunch Break
12:45 – 13:45 — Case 1: Writing Code with Claude Code
- Delegating implementation tasks with context and acceptance criteria
- Iterating on results: knowing when to accept and when to redirect
- Practical exercise: implement a real feature end-to-end
13:45 – 14:45 — Case 2: Doing Code Review with Claude Code
- Structuring a review delegation: security, design, performance
- Multi-file review with traceability — what changed, why it matters, and what to verify
- Practical exercise: review real code from participants
14:45 – 15:45 — Case 3: Designing with Claude Code
- Generating architecture decisions and Architectural Decision Records (ADRs) from requirements
- Exploring design alternatives and identifying trade-offs
- Practical exercise: design a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Key takeaways and three concrete changes each participant commits to implementing
- Open Q&A session
🌲☁️
Requirements
- Proficient experience in at least one programming language
- Confidence working within a terminal or command-line environment
- Fundamental Git knowledge (commits, branches, pull requests)
- Laptop with internet connectivity — a Claude Pro account is required (registration instructions will be sent upon sign-up)
7 Hours
Testimonials (2)
claude mcp, how to promote and sell AI created software
Precup Andrei - Frequentis
Course - Claude Code: Agentic AI Development · 1-Day
The workshop to build an app
