{
  "title": "Engineering Capacity as an Operating System",
  "upload_type": "publication",
  "publication_type": "workingpaper",
  "publication_date": "2026-07-09",
  "creators": [
    {
      "name": "McRorey, Lonnie",
      "affiliation": "Founder and CEO, TeamStation AI, Boston, Massachusetts",
      "orcid": "0009-0001-5351-190X"
    }
  ],
  "publisher": "TeamStation AI",
  "description": "A systems paper proposing Engineering Capacity OS, an evidence classified operating model for engineering capacity, topology decisions, and AI governed software delivery. The paper states an explicit evidence boundary: TeamStation claims internal operational validation and internal empirical support, while independent external replication and peer review remain future work.",
  "access_right": "open",
  "license": "cc-by-4.0",
  "keywords": [
    "engineering capacity",
    "engineering operating system",
    "DORA",
    "SPACE",
    "Team Topologies",
    "AI governance",
    "agentic SDLC",
    "engineering telemetry"
  ],
  "notes": "Operationally validated working paper draft. Not peer reviewed. Not independently replicated. Human review and final declarations required before publication.",
  "language": "eng",
  "metadata": {
    "title": "Engineering Capacity as an Operating System",
    "upload_type": "publication",
    "publication_type": "workingpaper",
    "creators": [
      {
        "name": "McRorey, Lonnie",
        "affiliation": "TeamStation AI, Boston, Massachusetts",
        "orcid": "0009-0001-5351-190X"
      }
    ],
    "publisher": "TeamStation AI",
    "description": "A systems paper proposing Engineering Capacity OS, an evidence classified operating model for engineering capacity, topology decisions, and AI governed software delivery. The paper states an explicit evidence boundary: TeamStation claims internal operational validation and internal empirical support, while independent external replication and peer review remain future work.",
    "keywords": [
      "engineering capacity",
      "engineering operating system",
      "DORA",
      "SPACE",
      "Team Topologies",
      "AI governance",
      "agentic SDLC",
      "engineering telemetry",
      "TeamStation AI",
      "Research Publishing OS",
      "Axiom Cortex",
      "Nebula Talent Graph"
    ],
    "license": "cc-by-4.0",
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      {
        "identifier": "https://engineering.teamstation.dev/research/engineering-operating-system/paper/",
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        "resource_type": "publication-technicalnote"
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    ],
    "references": [
      "DORA (2026). Software delivery performance metrics. https://dora.dev/guides/dora-metrics/",
      "Forsgren, Nicole and Storey, Margaret-Anne and Maddila, Chandra and Zimmermann, Thomas and Houck, Brian and Butler, Jenna (2021). The SPACE of Developer Productivity. https://queue.acm.org/detail.cfm?id=3454124",
      "Team Topologies (2026). Team Topologies Key Concepts. https://teamtopologies.com/key-concepts",
      "Peng, Sida and Kalliamvakou, Eirini and Cihon, Peter and Demirer, Mert (2023). The Impact of AI on Developer Productivity: Evidence from GitHub Copilot. https://arxiv.org/abs/2302.06590",
      "Cui, Kevin Zheyuan and Demirer, Mert and Jaffe, Sonia and Musolff, Leon and Peng, Sida and Salz, Tobias (2026). The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers. https://doi.org/10.1287/mnsc.2025.00535",
      "TeamStation Engineering (2026). Engineering Capacity Operating System Research. https://engineering.teamstation.dev/api/research/engineering-operating-system.md",
      "TeamStation AI Research (2026). Distributed Engineering Operating Systems. https://teamstation.dev/research/articles/distributed-engineering-operating-systems-control-plane-model",
      "Lonnie McRorey (2026). Axiom Cortex for LATAM Agentic Engineering. https://teamstation.dev/research/articles/axiom-cortex-latin-america-agentic-engineering-alignment",
      "Lonnie McRorey (2026). TeamStation Distributed Engineering OS. https://teamstation.dev/research/articles/teamstation-ai-publishes-distributed-engineering-os-model-for-agentic-ai-teams",
      "TeamStation AI R&D Lab Staff (2026). Cognitive Fidelity and the Turing Trap. https://teamstation.dev/research/articles/cognitive-fidelity-and-the-turing-trap",
      "TeamStation AI R&D Lab Staff (2026). Agentic Team Topologies for CTOs and CIOs. https://teamstation.dev/research/articles/team-topologies-in-the-agentic-workflow-era-beyond-2026",
      "TeamStation AI R&D Lab Staff (2026). Software Engineering Team Topologies for 2026. https://teamstation.dev/research/articles/software-engineering-team-topologies-for-2026",
      "TeamStation AI R&D Lab Staff (2026). Hidden Math of Distributed Engineering Failure. https://teamstation.dev/research/articles/the-hidden-math-behind-distributed-engineering-failure",
      "TeamStation AI R&D Lab Staff (2026). 2027 Agentic Team Topologies in LATAM. https://teamstation.dev/research/articles/the-2027-blueprint-for-agentic-engineering-team-topologies-in-latin-america",
      "TeamStation Engineering (2026). Engineering Capacity Operating System Research. https://engineering.teamstation.dev/research/engineering-operating-system",
      "TeamStation Engineering (2026). Engineering Capacity Operating System Markdown Source. https://engineering.teamstation.dev/api/research/engineering-operating-system.md",
      "TeamStation Engineering (2026). Cognitive Fidelity Doctrine. https://engineering.teamstation.dev/quality/cognitive-fidelity/",
      "TeamStation Engineering (2026). Agentic Engineering Workflows in Distributed Team Topologies. https://engineering.teamstation.dev/teams/agentic-development-workflows/"
    ]
  },
  "version": "0.5 operational validation boundary draft"
}