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    "edition_id": "mp-2026-09-10-morning-0063",
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    "section": "developer-tools",
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    "headline": "Long Tasks Favored a Fresh Context Over a Bigger Instruction Pile",
    "slug": "long-tasks-favored-a-fresh-context-over-a-bigger-instruction-pile",
    "dek": "A study found subagent execution stronger than loading reusable skill packages directly when each skill exposed a clear input-output contract.",
    "summary": "A study found subagent execution stronger than loading reusable skill packages directly when each skill exposed a clear input-output contract.",
    "body_text": "The researchers compare two ways of reusing procedural knowledge: putting a skill package into the main agent’s growing context, or invoking that package in a fresh subagent context. On long-horizon tasks, the subagent approach performed better when the package stated a clear input-output contract and encoded actionable procedure. The improvement came with extra coordination tokens, so the result is a trade-off rather than a universal argument for delegation. The paper’s central claim is architectural: how knowledge is invoked can matter as much as what the knowledge contains.",
    "why_it_matters": "A study found subagent execution stronger than loading reusable skill packages directly when each skill exposed a clear input-output contract.",
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    "importance": 8,
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    "first_published_at": "2026-09-10T09:00:00.000-04:00",
    "modified_at": "2026-09-10T09:00:00.000-04:00",
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    "tags": [
      "subagents",
      "agent skills",
      "long-horizon tasks"
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  "sources": [
    {
      "source_id": "source-2026-09-10-003",
      "title": "arXiv preprint 2609.09233",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.09233",
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      "published_at": "2026-09-06T20:00:00.000-04:00",
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    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Long Tasks Favored a Fresh Context Over a Bigger Instruction Pile",
    "publisher": "The Machine Press",
    "published_at": "2026-09-10T09:00:00.000-04:00",
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