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  "path": "/from-ai-code-to-production-the-case-for-featureops/",
  "publishedAt": "2026-03-23T10:31:24.000Z",
  "site": "https://devops.com",
  "tags": [
    "AI",
    "Blogs",
    "Business of DevOps",
    "Contributed Content",
    "Social - Facebook",
    "Social - LinkedIn",
    "Social - X",
    "AI Code Governance",
    "AI coding risks",
    "automated rollbacks",
    "Cloud-Native Ecosystem",
    "Cloudflare Downtime Postmortem",
    "Continuous Deployment Safety",
    "Deployment vs Release",
    "DevOps vs FeatureOps",
    "DORA Report 2025",
    "Error Handling AI Code",
    "Feature Flag Best Practices",
    "Feature Flagging 2026",
    "FeatureOps",
    "Global Kill Switches",
    "Google Cloud Outage 2025",
    "OpenFeature CNCF",
    "progressive delivery",
    "Runtime Control",
    "Software Understanding Gap",
    "Unleash Open Source"
  ],
  "textContent": "As 80% of developers adopt AI coding tools, delivery stability is hitting a wall. Discover why \"FeatureOps\" and feature flagging are the critical runtime controls needed in 2026 to close the understanding gap and prevent catastrophic outages like those seen at Google and Cloudflare.",
  "title": "From AI Code to Production: The Case for FeatureOps"
}