This Is Twitter’s Actual Codebase!
I tried understanding Twitter/X’s open source algorithm and honestly… this codebase is INSANE.
Twitter (now X) open sourced parts of its recommendation algorithm on GitHub, and I decided to explore the actual source code like a beginner developer.
But the moment I opened the repo…
• massive Scala code
• machine learning systems
• recommendation pipelines
• ranking models
• GraphJet
• SimClusters
• Home Mixer
• backend infrastructure
…and I realized how crazy large-scale production codebases really are 💀
This is NOT a tutorial. This is a genuine beginner trying to understand Twitter’s real codebase and recommendation system.
If you are interested in:
Open Source Projects
GitHub Repositories
Twitter/X Algorithm
Recommendation Systems
Backend Development
System Design
Machine Learning Infrastructure
Large Scale Applications
Software Engineering
Source Code Exploration
Real World Production Code
Developer Content
Coding Projects ,then this video is for you.
In this video:
Exploring Twitter’s source code
Understanding the X recommendation algorithm
Looking inside a massive codebase
Beginner reaction to production-level software engineering
Open source code exploration
How social media recommendation systems work
Twitter’s recommendation algorithm powers the “For You” feed and handles billions of recommendations daily. The project was later open sourced publicly on GitHub by Twitter/X engineering.
Topics: twitter algorithm, x algorithm, twitter source code, twitter open source, github repository, recommendation system, machine learning, software engineering, system design, backend development, coding, programming, open source projects, codebase, source code, github projects, twitter engineering, scala programming, large scale systems, distributed systems, ml recommendation system, real world codebase, developer content