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AI-Driven Development

This project is built to work seamlessly with AI coding assistants, specifically Google Antigravity and Gemini CLI.

🤖 Google Antigravity

Google Antigravity serves as your primary AI coding collaborator. It is optimized for: - Implementation: Generating features, refactoring code, and writing tests. - Review: Proactive code analysis and pull request review. - Maintenance: Automated documentation and repository housekeeping.

🤖 Gemini CLI

The Gemini CLI is an AI-powered autonomous agent designed for rapid, surgical engineering within this project.

Core Benefits:

  • Autonomous Engineering: Use the CLI to research the codebase, plan complex changes, and execute focused edits.
  • Context Awareness: Leverages repository guidance (such as GEMINI.md), existing code patterns, and test suites to ensure changes adhere to project standards.
  • Automated Validation: Integrated workflows for running tests and linters immediately after any AI-initiated modification.

Getting Started with Gemini CLI

To interact with this project:

# Start an interactive session
gemini

# Sandbox - Restrict access strictly to the current project directory
gemini --sandbox seatbelt

# Example directive
> "Add a new CRUD endpoint for 'Products' following the existing user pattern"

🧠 Architectural Mandates (GEMINI.md)

Always refer to GEMINI.md in the project root. This file contains the foundational mandates that guide AI assistants in maintaining the project's architectural integrity, security, and coding standards.