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Course Outline
09:00 – 09:15 — Welcome & Overview
- Session objectives, technical environment verification, and introductions
09:15 – 10:00 — Module 1: AI Code Quality & the Plan–Execute–Review Principle
- Five critical factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow design
- The advantage of decoupling planning, execution, and review over relying on a single prompt
- A decision-making framework applicable throughout the remainder of 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 interfaces, and understanding the significance of this shift
- The agentic cycle: reading, planning, acting, and verifying
- Live demonstration: 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: capturing project memory, architectural rules, and team conventions
- Skills and hooks: building reusable slash-command workflows and event-driven automations
- Sub-agents: internal delegation mechanisms for parallel work streams in Claude Code
- MCP: integrating external tools such as GitHub, databases, and internal APIs, including security boundary definition
- Practical exercise: configuring Claude Code and customizing 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: determining when to accept results versus when to redirect the agent
- Practical exercise: implementing a real feature end-to-end
13:45 – 14:45 — Case 2: Doing Code Review with Claude Code
- Structuring review delegations focusing on security, design, and performance
- Multi-file reviews with traceability: identifying what changed, the reasoning behind it, and verification requirements
- Practical exercise: reviewing actual code submissions from participants
14:45 – 15:45 — Case 3: Designing with Claude Code
- Generating architecture decision records (ADRs) from requirements
- Exploring design alternatives and highlighting trade-offs
- Practical exercise: designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Summary of key takeaways and three specific action items each participant commits to
- Open floor for questions and discussion
Requirements
- Proficiency in at least one programming language
- Confidence in using terminal or command-line interfaces
- Familiarity with fundamental Git concepts (commits, branches, pull requests)
- A laptop with internet access; a Claude Pro account is mandatory (setup instructions provided upon registration)
7 Hours
Testimonials (3)
Using Claude Code in a more efficient way
Virgil Trif - Frequentis
Course - Claude Code: Agentic AI Development · 1-Day
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
