Overview
This tutorial demonstrates how a developer extended their existing blog-to-newsletter automation tool to include a new "beats" content type. The key insight is how a short, well-structured prompt can accomplish complex code modifications by referencing existing patterns and providing clear context to AI coding assistants.
What You'll Learn
- Clone reference repositories to /tmp to give coding agents context without affecting the main codebase
- Reference existing patterns in your codebase (like "similar to how the Atom everything feed works") to avoid explaining complex logic
- Use specific file names in prompts to help AI agents identify which files to modify in large repositories
- Test implementations immediately using simple commands like python -m http.server to validate changes
- Leverage existing filtering logic from other parts of your application rather than rebuilding from scratch
Prerequisites
Familiarity with web development, HTML/JavaScript, command line tools, and AI coding assistants like Claude Code