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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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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,…

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