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Context Engineering Intro

A template and practical guide for Context Engineering to provide comprehensive project context for AI coding assistants.

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.

Comments

Context Engineering Intro
Resource Info
🌱 Open Source 📖 Tutorial