
Developed and delivered an AI Agent Scorer Definition within the forcedotcom/source-deploy-retrieve repository, introducing a new scoring model for AI agents in the metadata registry. The work focused on targeted metadata registry enhancements using JSON, with careful isolation of changes to minimize risk and maintain system stability. Leveraging skills in AI integration, data modeling, and metadata management, the developer ensured all modifications were traceable through linked engineering work and issue tracking. This feature laid the foundation for scalable AI-driven capabilities and future automation, enabling experimentation while maintaining readiness for review and release within the broader metadata management framework.
April 2026 highlights include delivering a new AI Agent Scorer Definition in the Metadata Registry for the forcedotcom/source-deploy-retrieve repo, enabling a scalable AI scoring model and laying groundwork for AI-driven capabilities. Work focused on a targeted metadata registry enhancement with minimal surface area risk. The change is linked to engineering work and issue tracking (W-22138162) and PR #1746, with the commit adding AiAgentScorerDefinition to the metadata registry.
April 2026 highlights include delivering a new AI Agent Scorer Definition in the Metadata Registry for the forcedotcom/source-deploy-retrieve repo, enabling a scalable AI scoring model and laying groundwork for AI-driven capabilities. Work focused on a targeted metadata registry enhancement with minimal surface area risk. The change is linked to engineering work and issue tracking (W-22138162) and PR #1746, with the commit adding AiAgentScorerDefinition to the metadata registry.

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