How Airbnb evaluates coding models
How we built a benchmark from our engineers' work, stopped models from grading themselves, and now run it on every release.
The guest journey, updated in real time: extending Airbnb’s sequence recommender with Chronon
How two new Chronon capabilities, Push Mode and NRT Model Transform, allows us to provide more relevant search results instantly as a guest explores, rather than waiting for the next batch run.
My Journey to Airbnb — Jonathan Woodard
From defensive end to cloud security engineer, meet Jonathan Woodard.
It Wasn’t a Culture Problem: Upleveling Alert Development at Airbnb
How we changed our Observability as Code alert review process and cut development cycles from weeks to minutes.
Academic Publications & Airbnb Tech: 2025 Year in Review
2025 was a big year for research at Airbnb, as we made significant progress toward our mission to use AI, data science, and machine learning to become the best travel and living platform.
Viaduct, Five Years On: Modernizing the Data-Oriented Service Mesh
A more powerful engine and a simpler API for our data-oriented mesh
Achieving High Availability with distributed database on Kubernetes at Airbnb
How to achieve high availability with distributed database on Kubernetes.
Understanding and Improving SwiftUI Performance
New techniques we’re using at Airbnb to improve and maintain performance of SwiftUI features at scale
Load Testing with Impulse at Airbnb
Comprehensive Load Testing with Load Generator, Dependency Mocker, Traffic Collector, and More
How Airbnb Measures Listing Lifetime Value
A deep dive on the framework that lets us identify the most valuable listings for our guests.
My Journey to Airbnb — Michael Kinoti
Saying no to med school and following a dream all the way to Silicon Valley