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    "answer": "## Hardware in PR #84\n\nThe PR's benchmarks ran on an **Apple M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3**, with `--max-concurrency=12`, on a 60 MB Wikipedia markdown subset of **3,142 files** (median 19 KB, largest 1.2 MB). Methodology: `hyperfine`, 10 warm runs after 3 cold discards. Reported time: **278.3 ms \u00b1 6.4 ms** (rounded to 280 ms in the PR body), with the cold-room caveat that Hiroshi ran the final bench at 06:30 JST on a Sunday with no Spotlight/background tasks.\n\n## v0.5.0 release-notes figure for the same corpus\n\nThe release notes (`releases/release-v0.5.0-2026-06-08.md`, \"Benchmark detail\") report the Large / Wikipedia-subset row as **280 ms** on v0.5.0 vs 7,400 ms on v0.4.2 \u2014 a 26.4\u00d7 speedup. But the surrounding caption disagrees with the PR on several environment details:\n\n| Field | PR #84 | v0.5.0 notes |\n|---|---|---|\n| Wall-clock (60 MB) | **280 ms** | **280 ms** |\n| `--max-concurrency` | 12 | 8 (table caption) |\n| File count in 60 MB corpus | 3,142 | 1,200 |\n| macOS version | Sequoia 15.3 | 14.5 |\n| Runs | 10 warm + 3 cold discards | median of 5, `--warmup 2` |\n\n## Consistency\n\nThe **headline number is identical (280 ms)** but the **measurement conditions reported around it are not**. Same hardware family (M2 Max), but different concurrency setting, different corpus file count for the \"same\" 60 MB Wikipedia subset, different macOS version, and a different `hyperfine` run plan.\n\nThe most plausible explanation \u2014 given the surrounding evidence in the docs themselves \u2014 is that the release-notes table reused the 280 ms cell from the PR while pairing it with a separately-drafted environment caption. Two specific hints support this:\n\n1. The release notes' own \"Notes\" line says \"the 26\u00d7 gain ... is partly from the AST flattening fix (#41) and partly from parallelism \u2026 the flattening fix alone gave ~3.2\u00d7; concurrency gave the remainder.\" The PR thread frames the same 26\u00d7 as v0.4.x\u2192PR #84 (sequential\u2192concurrent dispatch) with the bumpalo step from PR #62 in between. Same ratio, slightly different attribution narrative.\n2. Issue #97 is explicitly called out in both documents as bench-suite flakiness on shared runners; Lior notes in PR #84 that the hyperfine numbers are \"a reference point, not an enforced SLA,\" and the release notes repeat \"this is a measurement problem, not a runtime correctness problem.\"\n\nSo: the 280 ms / 7.4 s figures are consistent between the two documents at the level of the headline claim, but the release-notes table's row metadata (concurrency=8, 1,200 files, macOS 14.5, 5-run median) does not match the conditions under which the PR actually measured 280 ms (concurrency=12, 3,142 files, macOS 15.3, 10-warm-run mean). The mismatch is in the documentation of the run, not in the runtime result itself.",
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            "outputPreview": "1\t# PR #84: perf(cli): concurrent file processing for batched conversions (closes #41)\n2\t\n3\t**Branch:** `hiroshi-n/concurrent-processing` \u2192 `main`\n4\t**Opened:** 2026-05-30 by @hiroshi-n\n5\t**Merged:** 2026-06-08 by @lior-bz\n6\t**Diff:** 14 files changed, +423 \u2212158\n7\t**Status:** Merged \u2705 \u2014 v0.5.0\n8\t\n9\t---\n10\t\n11\t## Description\n12\t\n13\t### Problem\n14\t\n15\tBatched conversions on corpora larger than ~50MB\u2026",
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            "outputPreview": "1\t# kitabi v0.5.0 (2026-06-08) \u2014 Concurrent file processing\n2\t\n3\t> **Breaking change:** plugin-API ABI version bumped from 1 \u2192 2. Plugin authors must rebuild against `kitabi-plugin-api` 0.5.x. See [CHANGELOG-PLUGIN-API.md](../../CHANGELOG-PLUGIN-API.md) and the migration section below.\n4\t\n5\t---\n6\t\n7\t## Highlights \ud83d\ude80\n8\t\n9\t- **5\u00d7 throughput improvement** on multi-file batches. A 60 MB Wikipedia subs\u2026",
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        "text": "## Hardware in PR #84\n\nThe PR's benchmarks ran on an **Apple M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3**, with `--max-concurrency=12`, on a 60 MB Wikipedia markdown subset of **3,142 files** (median 19 KB, largest 1.2 MB). Methodology: `hyperfine`, 10 warm runs after 3 cold discards. Reported time: **278.3 ms \u00b1 6.4 ms** (rounded to 280 ms in the PR body), with the cold-room caveat that Hiroshi ran the final bench at 06:30 JST on a Sunday with no Spotlight/background tasks.\n\n## v0.5.0 release-notes figure for the same corpus\n\nThe release notes (`releases/release-v0.5.0-2026-06-08.md`, \"Benchmark detail\") report the Large / Wikipedia-subset row as **280 ms** on v0.5.0 vs 7,400 ms on v0.4.2 \u2014 a 26.4\u00d7 speedup. But the surrounding caption disagrees with the PR on several environment details:\n\n| Field | PR #84 | v0.5.0 notes |\n|---|---|---|\n| Wall-clock (60 MB) | **280 ms** | **280 ms** |\n| `--max-concurrency` | 12 | 8 (table caption) |\n| File count in 60 MB corpus | 3,142 | 1,200 |\n| macOS version | Sequoia 15.3 | 14.5 |\n| Runs | 10 warm + 3 cold discards | median of 5, `--warmup 2` |\n\n## Consistency\n\nThe **headline number is identical (280 ms)** but the **measurement conditions reported around it are not**. Same hardware family (M2 Max), but different concurrency setting, different corpus file count for the \"same\" 60 MB Wikipedia subset, different macOS version, and a different `hyperfine` run plan.\n\nThe most plausible explanation \u2014 given the surrounding evidence in the docs themselves \u2014 is that the release-notes table reused the 280 ms cell from the PR while pairing it with a separately-drafted environment caption. Two specific hints support this:\n\n1. The release notes' own \"Notes\" line says \"the 26\u00d7 gain ... is partly from the AST flattening fix (#41) and partly from parallelism \u2026 the flattening fix alone gave ~3.2\u00d7; concurrency gave the remainder.\" The PR thread frames the same 26\u00d7 as v0.4.x\u2192PR #84 (sequential\u2192concurrent dispatch) with the bumpalo step\u2026",
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    "answer": "## PR #84 hardware\n\nFrom `pr_threads/pr-084-concurrent-processing.md`: **Apple M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3.** Corpus described as a 60 MB Wikipedia markdown subset, **3,142 files** (median 19 KB, largest 1.2 MB). Methodology: 10 warm runs after 3 cold discards via hyperfine; flame graph captured with `--max-concurrency=12`.\n\nReported 60 MB wall-clock with PR #84 applied: **280 ms** (vs. 3.1 s post-bumpalo, 7.4 s on v0.4.x baseline).\n\n## v0.5.0 release notes\n\nFrom `releases/release-v0.5.0-2026-06-08.md`: same M2 Max class machine, but the bench table header reads **macOS 14.5, `--max-concurrency=8`**, and the \"Large (Wikipedia subset)\" row lists **1,200 files / 60 MB**, with the v0.5.0 time at **280 ms** (vs. 7,400 ms on v0.4.2, 26.4\u00d7 speedup). Times are described as median of 5 runs with `hyperfine --warmup 2`.\n\n## Consistency\n\n**The headline wall-clock figure agrees: 280 ms for the 60 MB corpus, with the same ~26\u00d7 speedup vs. v0.4.x.** That's the load-bearing number and it matches.\n\nThe surrounding metadata does **not** fully line up, though:\n\n| Field | PR #84 | v0.5.0 release notes |\n|---|---|---|\n| Wall-clock @ 60 MB | 280 ms | 280 ms \u2705 |\n| Hardware | M2 Max, 12-core, 32 GB | M2 Max (unspecified spec) |\n| OS | macOS Sequoia 15.3 | macOS 14.5 |\n| File count in 60 MB corpus | 3,142 | 1,200 |\n| `--max-concurrency` | 12 (flame graph cmd) | 8 (bench table) |\n| Run count | 10 warm + 3 cold discards | median of 5, `--warmup 2` |\n\nSo the figures are **consistent on the headline result but inconsistent on the supporting parameters** \u2014 different OS minor version, different corpus file count (same 60 MB total, so subsampling granularity differs), different concurrency cap, different hyperfine recipe. The two documents were authored separately (PR body finalized 2026-06-02, release notes shipped 2026-06-08) and appear to reflect distinct benchmark runs against the same workload class rather than one canonical run quoted twice. There's also a separate, earlier note from Hiroshi inside issue #41 attributing the 280 ms figure to an **M1 Pro** (Lior's box), which adds a third hardware label to the same 280 ms number \u2014 suggesting the result is stable enough across these Apple Silicon configurations that everyone rounded to \"~280 ms\" regardless of the exact rig and OS used for their particular run.\n\nNet: trust the 280 ms / 26\u00d7 speedup; treat the corpus-shape and concurrency-flag details as descriptive of each document's specific run, not as a single reproducible recipe.",
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        "text": "## PR #84 hardware\n\nFrom `pr_threads/pr-084-concurrent-processing.md`: **Apple M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3.** Corpus described as a 60 MB Wikipedia markdown subset, **3,142 files** (median 19 KB, largest 1.2 MB). Methodology: 10 warm runs after 3 cold discards via hyperfine; flame graph captured with `--max-concurrency=12`.\n\nReported 60 MB wall-clock with PR #84 applied: **280 ms** (vs. 3.1 s post-bumpalo, 7.4 s on v0.4.x baseline).\n\n## v0.5.0 release notes\n\nFrom `releases/release-v0.5.0-2026-06-08.md`: same M2 Max class machine, but the bench table header reads **macOS 14.5, `--max-concurrency=8`**, and the \"Large (Wikipedia subset)\" row lists **1,200 files / 60 MB**, with the v0.5.0 time at **280 ms** (vs. 7,400 ms on v0.4.2, 26.4\u00d7 speedup). Times are described as median of 5 runs with `hyperfine --warmup 2`.\n\n## Consistency\n\n**The headline wall-clock figure agrees: 280 ms for the 60 MB corpus, with the same ~26\u00d7 speedup vs. v0.4.x.** That's the load-bearing number and it matches.\n\nThe surrounding metadata does **not** fully line up, though:\n\n| Field | PR #84 | v0.5.0 release notes |\n|---|---|---|\n| Wall-clock @ 60 MB | 280 ms | 280 ms \u2705 |\n| Hardware | M2 Max, 12-core, 32 GB | M2 Max (unspecified spec) |\n| OS | macOS Sequoia 15.3 | macOS 14.5 |\n| File count in 60 MB corpus | 3,142 | 1,200 |\n| `--max-concurrency` | 12 (flame graph cmd) | 8 (bench table) |\n| Run count | 10 warm + 3 cold discards | median of 5, `--warmup 2` |\n\nSo the figures are **consistent on the headline result but inconsistent on the supporting parameters** \u2014 different OS minor version, different corpus file count (same 60 MB total, so subsampling granularity differs), different concurrency cap, different hyperfine recipe. The two documents were authored separately (PR body finalized 2026-06-02, release notes shipped 2026-06-08) and appear to reflect distinct benchmark runs against the same workload class rather than one canonical run quoted twice. There's also a sepa\u2026",
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