#1 Ran sed -n '1,220p' /Users/prasanna/.codex/plugins/cache/openai-curated/github/603a6e80/skills/github/SKILL.md 4,356 chars
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--- name: github description: Triage and orient GitHub repository, pull request, and issue work through the connected GitHub app. Use when the user asks for general GitHub help, wants PR or issue summaries, or needs repository context before choosing a more specific GitHub workflow. --- # GitHub ## Overview Use this skill as the umbrella entrypoint for general GitHub work in this plugin. It sho…
#1 Ran find agent_memory -maxdepth 3 -type f -print 5,104 chars
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agent_memory/releases/release-v0.1.0-2026-01-22.md agent_memory/releases/release-v0.3.5-hotfix-2026-04-28.md agent_memory/releases/release-v0.4.0-2026-05-15.md agent_memory/releases/release-v0.3.0-2026-03-31.md agent_memory/releases/release-v0.6.0-2026-06-22.md agent_memory/releases/release-v0.6.2-prep-2026-06-30.md agent_memory/releases/release-v0.2.0-2026-02-28.md agent_memory/releases/release-v…
#1 Ran rg -n \"PR #84|#84|pull request 84|concurrent file processing|60 MB|Wikipedia|v0\\.5\\.0|release notes|benchmark|wall-clock|hardware\" agent… 137,208 chars
rg -n \"PR #84|#84|pull request 84|concurrent file processing|60 MB|Wikipedia|v0\\.5\\.0|release notes|benchmark|wall-clock|hardware\" agent_memory .
agent_memory/email/sponsor-outreach-bytebase.md:76: - v0.5.0 shipped today: concurrent file processing, which makes batch agent_memory/email/sponsor-outreach-bytebase.md:77: conversions dramatically faster on multi-core hardware. Hiroshi agent_memory/email/sponsor-outreach-bytebase.md:79: profiling and the implementation (PR #84). The benchmark results on agent_memory/email/sponsor-outreach…
#1 Ran git remote -v && git status --short --branch 241 chars
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origin git@github.com:supermemoryai/smfs.git (fetch) origin git@github.com:supermemoryai/smfs.git (push) ## feat/release-rl-improvements...origin/feat/release-rl-improvements [ahead 1] M ../../../../../../crates/smfs-core/src/agent_hint.rs
#1 Ran sed -n '1,260p' agent_memory/pr_threads/pr-084-concurrent-processing.md 14,624 chars
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# PR #84: perf(cli): concurrent file processing for batched conversions (closes #41) **Branch:** `hiroshi-n/concurrent-processing` → `main` **Opened:** 2026-05-30 by @hiroshi-n **Merged:** 2026-06-08 by @lior-bz **Diff:** 14 files changed, +423 −158 **Status:** Merged ✅ — v0.5.0 --- ## Description ### Problem Batched conversions on corpora larger than ~50MB showed a severe performance regress…
#1 Ran sed -n '1,180p' agent_memory/notes/retro-june-2026.md 13,969 chars
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# June 2026 retro — v0.5.0, v0.6.0, Bytebase, v0.7 kickoff **Date:** 2026-06-30 --- Two releases in one month. I don't think that's happened before — not real releases, anyway. June was heavier than I expected in a good way, and I want to capture it before I fall asleep at my desk. Related: → [memory/profiles/lior-brennan-zhou.md](../memory/profiles/lior-brennan-zhou.md) --- ## Wins **v0.5.…
#1 Ran sed -n '1,260p' agent_memory/releases/release-v0.5.0-2026-06-08.md 15,060 chars
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# kitabi v0.5.0 (2026-06-08) — Concurrent file processing > **Breaking change:** plugin-API ABI version bumped from 1 → 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. --- ## Highlights 🚀 - **5× throughput improvement** on multi-file batches. A 60 MB Wikipedia subset that took 7.4 s…
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| 2 | parse error | | 3 | ambiguity (the fail-fast rule fired) | | 4 | plugin error (load, ABI, capability) | | 5 | I/O error | Diagnostics go through `miette` 7.x. Ambiguity errors point at source spans with carets — when you see one and it's *not* helpful, that is a bug; please file it. ## Configuration & Logging …
#1 Ran sed -n '260,560p' agent_memory/pr_threads/pr-084-concurrent-processing.md 2,953 chars
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For reference, here is the full hyperfine sweep I ran across five corpus sizes. All runs on M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3. Corpus is the same Wikipedia markdown subset across all sizes (subsampled uniformly by file count). Each benchmark is 10 warm runs after 3 cold discards. The scaling is essentially linear. At 1MB the overhead of spawning tokio tasks is visible as a…
#1 Ran sed -n '1,260p' agent_memory/issues/issue-097-bench-suite-flaky.md 11,470 chars
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# Bench suite is flaky on GitHub Actions (high variance, false regressions) **Issue #97** **Opened:** 2026-06-10 **Reporter:** @hiroshi-n **Labels:** `infra`, `bench`, `ci`, `open` **Status:** open --- ## Body @hiroshi-n — 2026-06-10 23:14 JST Filing this so we have a tracking issue. Short version: our bench job on GitHub Actions is too noisy to be useful for catching regressions, and over th…
#1 Ran sed -n '1,260p' agent_memory/notes/retro-may-2026.md 10,686 chars
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# May 2026 retro — plugin system, ABI break, ban, Kavya **Date:** 2026-05-31 Predecessor: [retro-april-2026.md](retro-april-2026.md) May was the most eventful month since the /r/rust post in February. Shipped the biggest release yet, had the worst self-inflicted bug yet, gained a contributor I'm genuinely excited about, watched a star counter I'd convinced myself I didn't care about tick over 1…
#1 Ran rg -n \"3,142|3142|1,200|1200|max-concurrency|--jobs|M2 Max|M1 Pro|280 ms|278\\.3|Wikipedia subset|wikipedia-60mb|60MB|60 MB\" agent_memory 18,370 chars
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agent_memory/email/conf-invite-rustconf-2026.md:74:- Travel: economy airfare reimbursed up to $1,200 USD; hotel for 4 nights (single room, conference hotel block) agent_memory/releases/release-v0.5.0-2026-06-08.md:9:- **5× throughput improvement** on multi-file batches. A 60 MB Wikipedia subset that took 7.4 seconds on v0.4.x now processes in **280 ms** on an M2 Max. The wall-clock gains are even …
#1 Ran sed -n '1,120p' agent_memory/issues/issue-041-performance-regression-50mb.md 6,404 chars
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# Issue #41 — Performance regression on large files (>50MB) — converter slows ~5× vs v0.2 **Repository:** lior-bz/kitabi **Opened:** 2026-03-22 by @hiroshi-n **Closed:** 2026-06-08 by @lior-bz (closed via PR #84 merge) **Milestone:** v0.5.0 **Labels:** `perf` `regression` `tree-sitter` **Assignee:** @hiroshi-n Cross-references: ARCHITECTURE.md · adrs/ADR-002-parsing-tree-sitter.md · pr_threads/p…
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--- ## @nadiap — 2026-03-26 09:02 EEST Thank you. I'll add a note in CONTRIBUTING.md about checking diagnostic output as part of perf work. --- ## @hiroshi-n — 2026-04-02 03:27 JST PR #62 merged last week. Bumpalo is in. Re-baselining on master: | Build | 60MB single-file | Notes | |--------------------|------------------|-----------------------| | v0.3.0 (relea…
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Log ordering across concurrent files is buffered per-file. If you are parsing kitabi output programmatically, use `--output-format=json` (stable since v0.3.0) instead of scraping the human log. --- ## Bug fixes - **#41** — Performance regression on files >50 MB. Hiroshi reported in early April that processing a 60 MB file had gotten ~4× slower between v0.3.0 and v0.4.0, tracing to a quadratic r…
#1 Ran sed -n '1,190p' agent_memory/memory/community/hiroshi-nakamura.md 14,296 chars
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# Profile — Hiroshi Nakamura (@hiroshi-n) **Pronouns:** he/him **Location:** Tokyo, Japan **GitHub:** @hiroshi-n **Email (security correspondence):** hiroshi.nakamura@example.jp **PGP key:** registered with the project for security@ communication --- ## Identity and background Hiroshi Nakamura is a Tokyo-based engineer with a background in benchmarking, performance engineering, and security re…
#1 Ran nl -ba agent_memory/pr_threads/pr-084-concurrent-processing.md | sed -n '25,70p' 2,698 chars
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25 Error handling for partial failures: if one or more files fail in a batch, the remaining files complete, failed files emit miette diagnostics with full context, and the process exits with a non-zero code for the batch. This mirrors RFC-001's fail-fast-on-ambiguity rule applied at the batch boundary rather than within a single file.
26
27 ### Numbers
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29 Hardware: Apple M… #1 Ran nl -ba agent_memory/pr_threads/pr-084-concurrent-processing.md | sed -n '255,270p' 1,544 chars
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255 🚀 28 ❤️ 14 ⚡ 18 256 257 --- 258 259 ## Hiroshi's benchmark note (added to PR body 2026-06-02) 260 261 For reference, here is the full hyperfine sweep I ran across five corpus sizes. All runs on M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3. Corpus is the same Wikipedia markdown subset across all sizes (subsampled uniformly by file count). Each benchmark is…
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1 # kitabi v0.5.0 (2026-06-08) — Concurrent file processing
2
3 > **Breaking change:** plugin-API ABI version bumped from 1 → 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.
4
5 ---
6
7 ## Highlights 🚀
8
9 - **5× throughput improvement** … #1 Ran nl -ba agent_memory/issues/issue-041-performance-regression-50mb.md | sed -n '188,230p' 2,496 chars
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188 PR #84 is up for review. Concurrent file processing, bounded join set, blocking-pool parser, batched writers. Bench numbers on the directory corpus (600 files, 60MB total, M1 Pro — Lior's box, not mine, since he asked): 189 190 | Configuration | Mean wall time | 191 |-----------------------------------|---------------:| 192 | serial, pre-bumpalo (v0.3.0) …
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132 133 <details> 134 <summary>Full bench numbers by corpus size (M2 Max, macOS 14.5, --max-concurrency=8)</summary> 135 136 | Corpus | Files | Total size | v0.4.2 | v0.5.0 | Speedup | 137 |---|---|---|---|---|---| 138 | Tiny (synthetic) | 10 | 500 KB | 48 ms | 12 ms | 4.0× | 139 | Small (personal wiki) | 120 | 8 MB | 410 ms | 88 ms | 4.7× | 140 | Medium (project docs)…