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    "story_id": "mp-2026-09-07-013",
    "source_story_id": "tmp-story-maxkernel-agentic-tpu-kernels",
    "edition_id": "mp-2026-09-07-morning-0060",
    "edition_url": "https://themachinepress.com/edition/2026-09-07",
    "position": 13,
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    "section": "developer-tools",
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    "headline": "Compiler Feedback Turned Kernel Writing Into a Search Party",
    "slug": "compiler-feedback-turned-kernel-writing-into-a-search-party",
    "dek": "MaxKernel combines collaborative, autonomous and graph-search modes with specialized agents for planning, profiling, testing and self-debugging on TPUs.",
    "summary": "MaxKernel combines collaborative, autonomous and graph-search modes with specialized agents for planning, profiling, testing and self-debugging on TPUs.",
    "body_text": "The system uses real-time compiler and hardware feedback to generate accelerator kernels under three modes: human-in-the-loop design, an autonomous metric-driven loop and graph-based exploration. It shares specialized planning, implementation, debugging, testing and profiling agents across the modes. Evaluations cover 50 JaxBench tasks plus larger open-source workloads, where the authors report performance matching expert-tuned baselines. Those claims are benchmark-specific and do not establish optimal kernels for every TPU workload.",
    "why_it_matters": "MaxKernel combines collaborative, autonomous and graph-search modes with specialized agents for planning, profiling, testing and self-debugging on TPUs.",
    "limitations": [
      "Those claims are benchmark-specific and do not establish optimal kernels for every TPU workload."
    ],
    "importance": 8,
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    "first_published_at": "2026-09-07T09:00:00.000-04:00",
    "modified_at": "2026-09-07T09:00:00.000-04:00",
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        "text": "MaxKernel combines collaborative, autonomous and graph-search modes with specialized agents for planning, profiling, testing and self-debugging on TPUs.",
        "source_ids": [
          "source-2026-09-07-013"
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        "qualification": "Those claims are benchmark-specific and do not establish optimal kernels for every TPU workload."
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    "source_ids": [
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    "tags": [
      "TPU",
      "kernel generation",
      "compiler feedback"
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  "sources": [
    {
      "source_id": "source-2026-09-07-013",
      "title": "arXiv preprint 2609.04523",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.04523",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-03T18:22:37.000-04:00",
      "accessed_at": "2026-09-07T08:20:00.000-04:00",
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  "publisher": {
    "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": "Compiler Feedback Turned Kernel Writing Into a Search Party",
    "publisher": "The Machine Press",
    "published_at": "2026-09-07T09:00:00.000-04:00",
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