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Endigest AI Core Summary
Meta escaped the "forking trap" by migrating from a divergent WebRTC fork to a modular upstream-based architecture, enabling continuous upgrades while serving billions of users.
•Built a dual-stack shim layer running legacy and latest WebRTC versions simultaneously for A/B testing across 50+ use cases
•Resolved C++ symbol collisions through automated renamespacing (webrtc_legacy:: and webrtc_latest::) and namespace manipulation
•Addressed macro conflicts by removing spurious includes, renaming macros, and sharing internal modules across versions
•Implemented template-based helpers for runtime version dispatch while maintaining backward compatibility
•Automated shim generation using AST parsing, increasing velocity from one shim per day to three or four
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