Claude Code and GitHub Workflow

Created by James Stothard

Learn a practical mental model for using Claude Code inside a local repository, turning intent into structured prompts that produce reviewable changes. You’ll also see how this connects to GitHub-style collaboration via diffs and PR-oriented habits, plus what “remote control” does and does not mean for your files and compute.

Requirements

Comfort installing and opening developer tools
Basic ability to navigate folders in your OS
Basic understanding that accounts/keys control access
Willingness to review changes before saving or sharing

What you'll learn

Explain, at a practical level, how Claude Code operates on local repository files and why that differs from a chat-only workflow.
Write structured prompts that constrain scope, specify acceptance criteria, and produce reviewable diffs.
Set up simple repo-level guidance (rules and reusable prompts) to make AI-assisted changes more consistent across sessions.

Learning path

2 modules • Each builds on the previous one

Structured prompts for Claude Code

Turn a vague feature idea into a clear, testable request that an AI coding agent can implement in small steps. Practice specifying constraints, success criteria, and file boundaries so changes are predictable and reviewable.

1 video9 min

Claude Code setup and authentication

Configure Claude Code to work in your terminal and connect to your codebase, Git, and GitHub. Compare subscription-based login versus API-key authentication and how credential choice impacts cost and behavior.

1 video6 min

Start Learning

Begin your learning journey

Modules2

Duration15 min

Science-backed learning

In-video quizzes and scaffolded content to maximize retention.

Key concepts

Claude Code Runs In Your Local Project ContextStructured Prompts That Produce Clean DiffsRepo-Level Rules And Reusable Prompt Blocks

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