How we built a measurement layer that tells us where, why, and how much to trust an agentic code reviewer, and why a single metric never could.
Category Archives: AI & ML
Building Food Metadata with LLM Juries, Context Optimization & Multimodal AI
DoorDash serves a vast and diverse set of merchants, with every restaurant, menu, and dish expressed in its own unique way.
Building Ask DoorDash (Part 3): Evaluation
Following our earlier engineering overview of Ask DoorDash, this third post in the blog series takes a close look at the evaluation harness behind the system.
Inside One Engineer’s Journey to Master Long-Running Agents
Here comes the mandatory “AI Moves Fast” disclaimer: when I first drafted this article in early March, I began by saying something about how “AI is coming.” and how we should get ready for it.
Building Ask DoorDash (Part 2): Intelligence
Following our earlier engineering overview of Ask DoorDash, this second post in the blog series takes a close look at the intelligence behind the system.
Using small language models to serve more relevant DoorDash search ads
When consumers search on DoorDash, they are usually trying to accomplish something quickly.
Building DoorDash Assistant: An engineering overview
First of a blog series on the engineering behind DoorDash Assistant.
Building a unified consumer memory for personalization at scale
DoorDash’s marketplace spans restaurants, groceries, convenience stores, retail outlets, and more.
How DoorDash’s brand affinity powers smarter targeting
We launched our new Consumer Packaged Goods (CPG) Interest Targeting initiative to let advertisers target consumers on new verticals (convenience stores, groceries, DashMart, etc.) based on their restaurant order history.
Inside DoorDash’s one-click simulation and evaluation platform for support chatbots
Shipping high-quality support chatbots is an end-to-end problem.