Style guide

Intro to building Bubble apps that scale

Frontend naming, custom states, and group variables

Data and workflow naming conventions

Security foundations for Bubble apps

Workload and database architecture

Modularity, reusables, and backend workflows

Public backend workflows and authentication modes

What lives on the page is public

Privacy rules still need good data modelling

Searches, filters, counts, and repeating groups

Workload guardrails for real apps

Reusable logic without turning the app into spaghetti

Data modelling decisions that scale

Plugins, templates, and native Bubble

How to think about complex Bubble problems

When to stay on Bubble and when to migrate

Building AI workflows in Bubble without losing control