Resources / guides
Practical guides for building with AI
Direct, useful answers for the moments AI coding gets difficult.
Claude Code guide
How to Write a CLAUDE.md That Keeps Your Project on Track
A concise CLAUDE.md template for keeping project rules, build commands and durable context available to Claude Code.
Read the guide →AI app building guide
How to Build an App With AI Without Losing Control
Plan your app, write clear tasks and use an AI coding agent without losing track of what you are building.
Read the guide →AI coding tutorial
Acceptance Criteria Examples for AI Coding
A beginner tutorial for turning feature edge cases into clear checks and tests before an AI coding agent starts building.
Read the guide →App planning tutorial
A Simple User Journey Map Example for an App
Follow a worked app journey from first screen to finished task, then turn the missing decisions into features and checks.
Read the guide →Requirements tutorial
How to Write User Stories for AI Coding
A beginner tutorial for writing useful user stories, adding acceptance checks and turning each story into a small AI coding task.
Read the guide →PRD tutorial
A Product Requirements Document Example for AI Coding
A worked PRD example for an AI-coded feature, with the user outcome, behaviour, boundaries, edge cases, data and tests.
Read the guide →Claude Code context guide
Claude Code Memory vs CLAUDE.md: Where Project Context Belongs
Use Claude Code memory, CLAUDE.md, a feature brief and a task board for different parts of your project context.
Read the guide →AI app planning guide
Scope Creep Examples for AI App Builders
See how scope creep starts in an AI-built app, then use a simple feature boundary and checks to keep the first version small.
Read the guide →AI app planning guide
How to Choose an MVP Feature List for an AI-Built App
Choose the smallest feature list for an AI-built app with one user job, clear limits and checks you can test before adding more.
Read the guide →