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fusion-harness/live_final_generation/MANIFEST-claude-fable-5-gpt-5.6-sol.md
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IndyDevDan 5852f2ed4f 🚀
2026-07-19 20:30:34 -05:00

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# Project File Inventory — fused from claude-fable-5 + gpt-5.6-sol
Snapshot of every file built for the SQLite bulk-insert benchmark project,
copied 2026-07-16 from the original locations into this directory.
## `project-root/` — deliverables (from `/private/tmp/ddc0f4d0/fusion-harness/`)
Listed by BOTH agents.
| File | Built by | Description |
|---|---|---|
| `bench-sqlite-bulk-ARCHITECT-anthropic-claude-fable-5.py` | ARCHITECT | Independent benchmark design — 7 strategies, subprocess isolation, ru_maxrss RAM measurement |
| `sqlite-bulk-benchmark-BUILDER-openai-gpt-5.6-sol.py` | BUILDER | Independent parallel benchmark design |
| `BENCH_PLAN.md` | Fusion | Fused plan: method, fairness controls, measured results, winners, embedded fused script |
| `bench.py` | BUILDER (gated loop) | Canonical deliverable — stdlib-only uv single-file implementation of BENCH_PLAN.md |
| `RESULTS.md` | Generated by `uv run bench.py` | Measured results (7 strategies, time + peak RAM), Speed Winner `set_based_ctes`, Memory Winner declared |
## Root of this dir — fused script (from `/tmp/`)
Listed by ARCHITECT only.
- `fused-sqlite-bench-claude-fable-5-gpt-5.6-sol.py` — runnable fused benchmark referenced by BENCH_PLAN.md
## `harness-artifacts/` — process artifacts (from `/tmp/fusion-harness-K48sbW/`)
Listed by ARCHITECT only.
- `gate.py` — 15-check acceptance gate (Definition of Done)
- `prompt.md`, `validator.md` — harness briefs
- `gate-baseline.txt` — required RED baseline before any build
- `gate-round-1.txt``gate-round-5.txt` — all five gate runs
- `builder-round-1.md``builder-round-5.md` — all five builder reports
- `triage-round-3.md`, `triage-round-4.md` — escalation briefs diagnosing the gate defect
## Status note (per ARCHITECT)
Final gate run ends RED (11 passed / 4 failed) due to a known defect in
`gate.py:61` (strips underscores from searched text, making strategy-name
checks unsatisfiable). The substantive deliverables — `bench.py` and
`RESULTS.md` — are correct, measured, and complete: 1M rows, all 7
strategies, ~17002000x speedup over naive autocommit.