Overview
Context Engineering Intro is a template repository that helps teams structure comprehensive project context for AI coding assistants. It provides CLAUDE.md rules, INITIAL templates, PRP workflows, and examples that make AI-driven implementations more reliable, consistent, and testable.
Key Features
- Comprehensive templates: includes CLAUDE.md, INITIAL.md, PRP templates and examples to accelerate adoption.
- Examples-driven: example folder demonstrates how to include code patterns and tests so AI outputs are executable.
- PRP workflow: instructions and tools to generate and execute Product Requirements Prompts that act as implementation blueprints.
Use Cases
- Teams aiming to reliably use AI coding assistants for complex, multi-step implementations.
- Educational materials and workshops showing how to organize context for better AI outcomes.
- Project bootstrapping with consistent AI collaboration rules and example-driven validation.
Technical Highlights
- Lightweight repository: documentation and examples focused, minimal runtime dependencies.
- Platform-agnostic practices: demonstrated with Claude Code but applicable to other assistant platforms.
- Validation-first design: includes patterns for validation gates and example-driven verification.