Dev3 min reading time

DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags

InfoQ (AI, ML & Data)
Read full post
DoorDash developed a multi-agent LLM system using Google's Agent Development Kit and Model Context Protocol to automate cleanup of over 60,000 feature flags, reducing manual effort significantly. The system produced usable pull requests for 45 of 50 tested stale flags, cutting cleanup time and cost compared to manual methods.

More in Dev

Dev8 min read

Introducing Amazon SageMaker HyperPod Inference Gateway

Covered by 2 sources
Dev4 min read

Oracle exec tells workers that its own AI rollout didn't go so smoothly

Covered by 2 sources
Dev5 min read

TypeSafe AI exits stealth with $40M to build AI for use by software

Covered by 2 sources