{
  "schema_version": "1.0",
  "id": "s8:https://www.youtube.com/watch?v=8G_1-3IO4ZQ",
  "slug": "wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf",
  "url": "https://feed7.dev/p/wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf",
  "title": "WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar",
  "why_included": "Atlan’s agent experiments argue for shared, versioned context instead of per-agent memory: a portable layer for business facts, skills, norms, retrieval, and feedback across changing harnesses.",
  "summary": "Atlan moved among Relevance, Google ADK, Glean, Claude Code, and Codex, repeatedly stranding context inside individual systems. Its current shared layer supports about **300 skills** and **40 agents**, combining business definitions, data relationships, playbooks, and norms.",
  "practical_implication": "Treat agent context like code: give it owners, versioning, dependency management, access controls, and portable retrieval interfaces. Keep shared knowledge outside any single harness so agents do not learn separately or continue using stale positioning and metrics.",
  "agent_context": "Atlan moved among Relevance, Google ADK, Glean, Claude Code, and Codex, repeatedly stranding context inside individual systems. Its current shared layer supports about **300 skills** and **40 agents**, combining business definitions, data relationships, playbooks, and norms.\n\nTreat agent context like code: give it owners, versioning, dependency management, access controls, and portable retrieval interfaces. Keep shared knowledge outside any single harness so agents do not learn separately or continue using stale positioning and metrics.\n\nThis is Atlan’s account of its own implementation, not a comparative evaluation of context-layer designs. The talk identifies unresolved problems around drift, downstream breakage, governance, and deciding which context should be local or global.",
  "source": {
    "name": "AI Engineer",
    "url": "https://www.youtube.com/watch?v=8G_1-3IO4ZQ",
    "published_at": "2026-07-14T22:45:06.000Z"
  },
  "source_class": "video",
  "content_type": "Video",
  "layer": "context",
  "domains": [
    "coding",
    "data"
  ],
  "topics": [
    "context-engineering",
    "skills",
    "agent-memory"
  ],
  "verification": {
    "status": "source_linked",
    "label": "Source Linked",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "This is Atlan’s account of its own implementation, not a comparative evaluation of context-layer designs. The talk identifies unresolved problems around drift, downstream breakage, governance, and deciding which context should be local or global."
  ],
  "lifecycle": "Current",
  "published_at": "2026-07-14T22:45:06.000Z",
  "modified_at": "2026-07-14T22:45:06.000Z",
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf",
    "json": "https://feed7.dev/p/wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf.json",
    "markdown": "https://feed7.dev/p/wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf.md"
  }
}