Snap Engineering Blog
Learn about Snap Engineering culture and our industry-leading innovations and achievements.
Alchemist: Agentic ML Experimentation
Alchemist brings human-in-the-loop agents and a deterministic harness to ML experimentation at Snapchat, reducing feature-selection cycles from four weeks to two.
DS Agent: Snap's AI Data Scientist
Part 1 of a series on DS Agent, the data-science agent platform built inside Snap. This post stands on its own; later posts cover the hosted web app and how we evaluate quality.
Building SPECS Experiences Faster
We built a working spatial Lens (app) on SPECS in about a day, then did it six more times. The speed didn't come from a new engine. It came from pairing two mature toolkits with an AI that can drive Lens Studio directly. Here's how that loop works.
Casper: Snap’s fleet of friendly AI teammates
This is Part 3 of a three-part series on how Snap is building AI-assisted software development workflows. This post is about Casper, our autonomous remote AI agents that take a task and hand back a reviewable pull request.
World-scale Outdoor AR Tracking with GNSS
Augmented reality (AR) has the power to transform the world around us, and its true potential is unlocked when digital content can be reliably anchored to specific, real-world locations.
Code Search: How Agents search across Snap’s codebase
This post is about Code Search, the retrieval layer that lets both agents and engineers explore and understand all of Snap's code