DoorDash

2026-10-31

COMPANIES · 1 SOURCE · WIRED AI

Businesses report limited immediate sales impact from Meta’s Muse

Meta says more than 10 million people in the US and Canada have activated Muse and that over 25% used it for shopping, but executives across roughly 50 companies told reporters and investors Muse- and agent-driven purchases remain tiny or 'insignificant' so far. Firms are nonetheless preparing — optimizing sites for agents, weighing partnerships and potential transaction fees Meta may charge, while regulators and banks warn about credential and security risks.

6.0

2026-10-30

COMPANIES · 1 SOURCE · TechCrunch AI

DoorDash says only ‘several hundred’ orders have come from third‑party AI agents

During its Q3 earnings call, DoorDash CEO Tony Xu said the company has observed only “several hundred” orders placed by third‑party AI agents such as Muse, Instinct and Fo, compared with about 3 million deliveries completed daily. DoorDash also noted it offers its own ordering agents (text‑to‑order, CLI agent, Ask DoorDash) and is exploring partnerships and advertising opportunities with agent makers.

5.0

2026-10-30

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

DoorDash cuts grocery reorder latency from ~16s to ~2s using AI agents

DoorDash reduced latency in its AI-powered grocery reorder flow from about 16 seconds to 2 seconds by precomputing recurring purchase candidates (from 90 days of history) with batch LLM inference, applying deterministic validation, and storing reusable shopping-list data; the serving path then resolves items against the live catalog. The change doubled shopping-list views and increased the flow’s order rate by roughly 34%, and it builds on DoorDash’s shared agent platform and grounded shopping interface (Ask DoorDash).

6.0

2026-10-13

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

QCon AI New York 2026 confirms sessions on production agents, evals, and LLM cost controls

QCon AI New York 2026 (Dec 15–16, The Westin Jersey City Newport) has published confirmed sessions from senior engineers covering production challenges for agents, evals, and LLM cost management. Speakers include Nancy Wang (identity/authorization for agents), Ronak Nathani (LinkedIn Kubernetes ops agent), Fabio Flores (DoorDash eval loop), Tejas Chopra (prompt compression and caching), Min Chen (AI-native code review at LinkedIn), and Nathen Harvey (AI maturity at Google Cloud).

5.0

2026-10-07

STARTUPS · 1 SOURCE · The Verge AI

DoorDash warns restaurants over Bites' AI‑native listings

DoorDash emailed Bay Area restaurants after some were listed on pre‑seed startup Bites — which allows orders via ChatGPT and says it has about 300 partner restaurants — warning they may have been added without consent and that inaccurate menus or undisclosed terms could be illegal. The episode illustrates a growing concern that LLM‑based agents could route orders away from apps like DoorDash, threatening commission, ad, and customer‑relationship revenue models.

6.0

2026-10-03

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

DoorDash details architecture and lessons from building an internal GenAI platform

At QCon AI, DoorDash engineers Swaroop Chitlur and Siddharth Kodwani presented the company’s journey building an internal GenAI platform for ~5,000 internal users, covering architectural bets, the shift from vendor-first to open-weights models, LLM and agent gateway design, and trade-offs between accuracy, latency, and cost. They emphasized API-/SDK-first design, focusing on product engineers as customers, embedding best practices, and prioritizing business impact over prototypical chatbots.

5.0

2026-09-30

COMPANIES · 1 SOURCE · TechCrunch AI

DoorDash launches text-to-order AI agent for Apple Messages

DoorDash announced a text-to-order AI agent that lets U.S. users place orders through Apple Messages by sending prompts like “order my usual,” asking for specific dishes, or requesting local recommendations; the agent can suggest carts, send photos, and handle mixed dietary preferences for group orders. DoorDash also said it will begin testing delivery drones with select restaurants in Northern California and is opening a U.S. waitlist for the new feature.

6.0

2026-09-18

REGULATION · 1 SOURCE · TechCrunch AI

Anthropic’s Dario Amodei outlines 'pace the frontier' AI safety proposal; industry reacts

Anthropic CEO Dario Amodei has proposed a 'pace the frontier' approach to slow advanced AI development that leans on independent safety evaluators and coordination among AI labs in democratic countries; the idea has drawn some industry support and pushback from Nvidia CEO Jensen Huang. The TechCrunch Equity episode also covers WordPress parent Automattic’s 33-hour boardroom ouster of Matt Mullenweg and related golden-parachute deals, plus updates on deals involving May Mobility and DoorDash’s investment in Wonder.

7.0

2026-09-18

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

DoorDash uses multi-agent LLMs to automate cleanup of 60,000 feature flags

DoorDash built a multi-agent LLM workflow (using Google’s Agent Development Kit and Claude models) to identify and remove stale feature flags across ~623 repositories and ~60,000 flags. In a 50-flag evaluation the system produced usable pull requests for 45 flags, averaging 13.8 minutes and $4.79 per cleanup, running agents in isolated Git worktrees, validating builds/tests/coverage, and integrating with Jira and the Model Context Protocol (MCP).

7.0