{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreiazqybovzf2yi7vfrwgdughsljslq4ecfqtoozpqkafhlul7wvbrq",
    "uri": "at://did:plc:gapzbf5nl5wxaqkqoecaeawh/app.bsky.feed.post/3mfp5a67luye2"
  },
  "path": "/the-ai-productivity-paradox-how-developer-throughput-can-stall/",
  "publishedAt": "2026-02-25T15:27:32.000Z",
  "site": "https://devops.com",
  "tags": [
    "Social - Facebook",
    "Social - LinkedIn",
    "Social - X",
    "Sponsored Content",
    "Checkmarx",
    "CI/CD",
    "IDE",
    "software engineering"
  ],
  "textContent": "Software engineering leaders have invested heavily in generative AI coding assistants for over two years—and for good reason. For many teams, the productivity gains appear significant. I hear the same story in conversations with leadership at dozens of enterprises: thanks to AI, developers complete tasks faster, write more code, and spend less time on boilerplate […]",
  "title": "The AI Productivity Paradox: How Developer Throughput Can Stall"
}