firebase

What it does

It guides an AI agent to work with Firebase to provide a complete backend including authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Hosting. It emphasizes security rules as mandatory and highlights data modeling for queries, as well as real-time listeners, Cloud Functions patterns, batch writes and transactions, and social login support.

How it works

• It enumerates modular Firebase tooling and when to use them, such as client-side SDKs, server-side/firebase-admin, and functions.
• It presents core patterns like Modular Import for tree-shaking, and Security Rules Design to control access on reads and writes.
• It describes Data Modeling for Queries, illustrating denormalized structures and embedding author data for efficient reads.
• It covers Real-time Listeners with guidance to unsubscribe to prevent leaks and extra reads, including sample code for useDocument and usePosts.
• It provides Cloud Functions V2 usage for HTTP functions, Firestore triggers, and scheduled tasks, including example auth verification and batch operations.
• It explains Batch Writes and Transactions with sample implementations for batch creation and transactional like operations.
• It outlines Social Login with Fire Firebase Auth, including Google, GitHub, and Apple providers, and discusses Popup vs Redirect flows, account linking, and auth persistence.
• It includes guidance on using Email verification, password reset, and session persistence strategies.

When to use it

• Use when building a Firebase-backed backend where security rules are critical and data is read-heavy, requiring denormalized structures and efficient queries.
• Applicable for implementing authentication, Firestore/Realtime Database data access, server-side Cloud Functions, storage, and hosting workflows.
• Use when designing data models and access rules upfront to avoid security misconfigurations.

What it can touch

• Core: firebase, firebase-admin, firebase-functions
• Testing: @firebase/rules-unit-testing, firebase-tools
• Frameworks: reactfire, vuefire, angularfire
• Cloud Functions, Firestore databases, authentication providers, hosting, storage

Caveats

• Security rules are described as mandatory and must be correctly implemented to avoid data exposure.
• The material notes Firestore is optimized for read-heavy, denormalized data and cautions against relational modeling.
• It emphasizes environment-based config and avoiding hardcoded keys in client code.
• There is an explicit warning about Cloud Functions permissions via firebase-admin bypassing security rules.