Our Twitter-scale Mastodon example is literally 100x less code than Twitter wrote to build the equivalent (just the consumer product), and it's 40% less code than the official Mastodon implementation (which isn't scalable). We're seeing similar code reduction from private beta users who have rewritten their applications on top of Rama.
Line of code is a flawed metric of course, but when it's reducing by such large amounts that says something. Being able to use the optimal data model for every one of your use cases, use your domain data directly, express fault-tolerant distributed computation with ease, and not have to engineer custom deployment routines has a massive effect on reducing complexity and code.
Here's a post I wrote expanding on the fundamental complexities we eliminate from databases: https://blog.redplanetlabs.com/2024/01/09/everything-wrong-w...