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

DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…

Feature Injection A/B Testing Developer Experience Experiment Driven Development Static Analysis AI Assisted Coding Automation Model Context Protocol (MCP)Productivity AI Architecture git AI Coding Large language models github Agents Feature Toggle DevOps AI, ML & Data Engineering Architecture & Design Development news

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Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB

Agoda migrated its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle growing read and write volumes. The migration used st…

Prometheus Caching SQL Server Microservices Distributed Systems Redis A/B Testing Distributed Cache Distributed Data DevOps Development Architecture & Design news

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How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages

GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating persona…

Generative AI A/B Testing Large language models Netflix Development Architecture & Design AI, ML & Data Engineering news

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Inside Google’s System for Coordinated A/B Testing Across Its Global Service Fleet

Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging,…

Distributed Systems Data-Driven Decision Making Series Feature Toggle Infrastructure Platforms Systems Thinking Logging User Experience A/B Testing DevOps Development Architecture & Design news