Every project / app starts small and grows and grows until it becomes a hot mess of spaggetti Carbonara. You try to follow all the best practices and advice and in the end the result is the same. In this talk I will go though my case study on how I managed to scale my application to millions of users and keep the code tidy and clean.

We start the talk by explaining some best practices on how to test your idea before even writing a single line of code, how to choose the correct tech stack.

Then we dive deep on how to architecture your project in such a way that is easy to change, test and scale. Here we discuss some main components that will allow you to scale:
- [ ] Component Library & Design System
- [ ] Having a really good automatic release process
- [ ] How to fast deploy and test your features in production
- [ ] Analytics and Monitors @ Scale
- [ ] How to Integrate AI into development and release process

Finally we end the talk with some lessons learned by discussing issues we had with various features, releases and bugs in production — told in a somewhat funny way, finishing with a deep dive into react performance issues and how to spot and fix them.