Governing change in an AI development era
Gearset argues that AI-generated code increases the volume of changes flowing through Salesforce delivery pipelines, so review and validation need to be automated to keep up. The post cites its State of Salesforce DevOps 2026 report, which says 82% of Salesforce teams trust AI to write code in the build stage and that security and compliance are the largest barriers to wider AI adoption. It recommends org visibility, automated quality gates and post-deployment monitoring, and describes Gearset's product in those terms.
What changes for platform teams
Platform teams running Salesforce delivery should expect more changes per sprint from AI tooling, so manual review and approval steps may need to be automated in the pipeline. The post gives no new product capability or concrete change beyond the vendor's own positioning.
Read the original at Gearset Blog ↗
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