LyftEng's platform is a central hub for engineering insights and technology updates from Lyft's engineering team. Through articles, tech talks, and open-source contributions, LyftEng offers insights into engineering challenges, innovation projects, and best practices in software development. Readers can learn about Lyft's engineering culture, technology stack, and contributions to the broader engineering community.

Lyft Engineering

Trusting the Untestable: Validation and Diagnostics for the Doubly Robust Models

LyftLearn Evolution: Rethinking ML Platform Architecture

Migrating Lyft’s Android Codebase to Kotlin

Solving Dispatch in a Ridesharing Problem Space

Beyond Query Optimization: Aurora Postgres Connection Pooling with SQLAlchemy & RDSProxy

Real-Time Spatial Temporal Forecasting @ Lyft

From manual fixes to automatic upgrades — building the Codemod Platform at Lyft

FacetController: How we made infrastructure changes at Lyft simple

Using Marketplace Marginal Values to Address Interference Bias

Cartography joins the CNCF