{
  "schema_version": "newruntime-topic-hub-v0.1",
  "type": "topic_hub",
  "slug": "agent-ops",
  "title": "Agent OPS - New Runtime",
  "description": "A New Runtime topic hub collecting signals, patterns, field notes, and public sources about agent ops.",
  "answer": [
    "Agent OPS is tracked here as an evidence-linked topic, not as a static glossary entry.",
    "The page connects raw observations to pattern hypotheses, longer analysis, and public sources.",
    "Use it as the canonical landing page before drilling into individual records."
  ],
  "search_intents": [
    "agent ops",
    "agent ops AI agents",
    "agent ops software"
  ],
  "status": "tracked",
  "last_updated": "2026-07-21",
  "counts": {
    "total": 7,
    "signals": 2,
    "patterns": 0,
    "posts": 3,
    "atlas": 2,
    "sources": 12
  },
  "routes": {
    "html": "https://newruntime.com/topics/agent-ops/",
    "markdown": "https://newruntime.com/topics/agent-ops.md",
    "json": "https://newruntime.com/topics/agent-ops.json"
  },
  "top_sources": [
    "https://addyo.substack.com/p/own-the-outer-loop",
    "https://anthropic.com/research/AI-assistance-coding-skills",
    "https://code.claude.com/docs/en/goal",
    "https://code.claude.com/docs/en/scheduled-tasks",
    "https://code.claude.com/docs/en/sub-agents",
    "https://creatoreconomy.so/p/how-i-plan-build-and-run-loops-with-claude-code-thariq-shihipar",
    "https://github.com/NousResearch/hermes-agent",
    "https://info.langchain.com/guide/the-agentic-operating-model",
    "https://ir.gitlab.com/news/news-details/2026/GitLab-Research-Reveals-Organizations-Are-Generating-AI-Code-Faster-Than-They-Can-Control-It/default.aspx",
    "https://modelcontextprotocol.io/docs/concepts/architecture",
    "https://sonarsource.com/state-of-code-developer-survey-report.pdf",
    "https://www.humanlayer.dev/blog/writing-a-good-claude-md"
  ],
  "patterns": [],
  "field_notes": [
    {
      "kind": "Field Note",
      "slug": "langchain-agentic-operating-model",
      "title": "LangChain Says Agents Need an Operating Model, Not Just a Framework",
      "description": "LangChain frames production agents as a governed operating model where reliability, governance, tracing, improvement loops, and accountability matter more than a prototype.",
      "date": "2026-07-21",
      "topics": [
        "agent-ops",
        "langchain",
        "governance"
      ],
      "source_count": 1,
      "url": "https://newruntime.com/posts/langchain-agentic-operating-model/"
    },
    {
      "kind": "Field Note",
      "slug": "claude-code-long-running-loops",
      "title": "Long-Running Loops Need Goals, Not Keep-Going Prompts",
      "description": "Long-running agent work is useful only with a testable goal, checkpoints, a terminal condition, and recovery policy; otherwise the loop becomes expensive blind continuation.",
      "date": "2026-07-21",
      "topics": [
        "claude-code",
        "long-running-agents",
        "agent-ops"
      ],
      "source_count": 4,
      "url": "https://newruntime.com/posts/claude-code-long-running-loops/"
    },
    {
      "kind": "Field Note",
      "slug": "ai-native-development-stages",
      "title": "The Four Stages of AI-Native Development",
      "description": "An AI-native team does not start by buying agent tooling; it starts by turning one engineer's working method into reproducible rules, memory, and checks.",
      "date": "2026-07-21",
      "topics": [
        "ai-native",
        "engineering-teams",
        "agent-ops"
      ],
      "source_count": 1,
      "url": "https://newruntime.com/posts/ai-native-development-stages/"
    }
  ],
  "raw_signals": [
    {
      "kind": "Raw Signal",
      "slug": "verification-capacity-coding-agent-bottleneck",
      "title": "Verification capacity becomes the coding-agent bottleneck",
      "description": "Coding agents can parallelize implementation faster than engineering teams can expand review judgment.",
      "date": "2026-07-16",
      "topics": [
        "coding-agents",
        "evals",
        "agent-ops",
        "engineering-management"
      ],
      "source_count": 4,
      "metric": "structural",
      "url": "https://newruntime.com/signals/verification-capacity-coding-agent-bottleneck/"
    },
    {
      "kind": "Raw Signal",
      "slug": "local-agent-is-a-runtime-not-one-model",
      "title": "A local agent is a runtime, not one model",
      "description": "A local agent stack combines models, orchestration, memory, skills, MCP tools, permissions, judges, and output guards.",
      "date": "2026-07-15",
      "topics": [
        "local-agents",
        "harness-engineering",
        "mcp",
        "agent-ops"
      ],
      "source_count": 2,
      "metric": "notable",
      "url": "https://newruntime.com/signals/local-agent-is-a-runtime-not-one-model/"
    }
  ],
  "atlas_records": [
    {
      "kind": "Shift",
      "slug": "goal-scoped-agent-loops",
      "title": "Manual continue prompting -> goal-scoped agent loops",
      "description": "Long-running agent work is moving from manual continue prompts toward explicit goals, limits, subagents, schedules, and verifiable completion.",
      "date": "2026-07-21",
      "topics": [
        "coding-agents",
        "agent-ops",
        "automation"
      ],
      "source_count": 3,
      "metric": "emerging",
      "url": "https://newruntime.com/shifts/goal-scoped-agent-loops/"
    },
    {
      "kind": "Graveyard",
      "slug": "changelog-bullet-reading",
      "title": "Reading every changelog bullet to understand capability",
      "description": "Manually reading every release bullet is a weak way to understand system change; interpreted release notes and Capability Deltas are needed.",
      "date": "2026-07-21",
      "topics": [
        "release-notes",
        "agent-ops"
      ],
      "source_count": 1,
      "metric": "eroding",
      "url": "https://newruntime.com/graveyard/changelog-bullet-reading/"
    }
  ]
}