Context Engineering Intro For Gemini CLI

Context Engineering Template

A comprehensive template for getting started with Context Engineering - the discipline of engineering context for AI coding assistants so they have the information necessary to get the job done end to end.

**Context Engineering is 10x better than prompt engineering and 100x better than vibe coding. This version has been optimized for use with Gemini CLI.**

🚀 Quick Start

# 1. Clone this template
git clone https://github.com/mverab/context-engineering-intro-for-Gemini-CLI
cd context-engineering-intro-for-Gemini-CLI

# 2. Install and Authenticate Gemini CLI
npm install -g @google/gemini-cli
gemini auth

# 3. Set up your project rules (optional - template provided)
# Edit GEMINI_CLI.md to add your project-specific guidelines

# 4. Add examples (highly recommended)
# Place relevant code examples in the examples/ folder

# 5. Create your initial feature request
# Edit INITIAL.md with your feature requirements

# 6. Generate a comprehensive PRP (Product Requirements Prompt)
# In Gemini CLI, run:
gemini -p "@./.gemini/commands/generate-prp.md" "INITIAL.md"

# 7. Execute the PRP to implement your feature
# In Gemini CLI, run:
gemini -p "@./.gemini/commands/execute-prp.md" "PRPs/your-feature-name.md"

📚 Table of Contents

• What is Context Engineering?
• Template Structure
• Step-by-Step Guide
• Writing Effective INITIAL.md Files
• The PRP Workflow
• Using Examples Effectively
• Best Practices

What is Context Engineering?

Context Engineering represents a paradigm shift from traditional prompt engineering:

Prompt Engineering vs Context Engineering

**Prompt Engineering:**

• Focuses on clever wording and specific phrasing
• Limited to how you phrase a task
• Like giving someone a sticky note

**Context Engineering:**

• A complet