Fold the night's learnings into the roadmap, steering and the
unseen-repo-evaluation spec so the process is reproducible and the
project is "ready now":
- roadmap.md: a 2026-10-11 state table (pool p1 frozen; harvest hardened
+ bucket-first; replay-image provenance pinned; baseline-on-kube next)
and a 5-step readiness plan to record 07.
- storage-streaming.md: RustFS-over-local as the default (local disk is
the scarce resource); the implemented ousast-corpus layout; replay
outputs belong on RustFS; the AX store endpoint is operator-owned.
- design.md: an "Amendments (2026-10-11)" section (bucket-first
persistence, ~2.2% rate-bound yield, machine-label record 07, pinned
replay image provenance).
- tasks.md: a folded-in amendment block (pool p1 frozen + freeze recipe;
bucket-first; CI replay image; machine-label baseline; kube lane +
ax/store as operator-owned infra).
Facts stated are verified (measured yield, freeze digest, GHCR anon pull,
batch.py's endpoint check); infra capability/policy is left to the
operator, not assumed. The frozen pool artifacts themselves are not
committed here (a separate samples/licensing decision).
Co-Authored-By: Claude Opus 4.8 <[email protected]>
gVisor replays exhausted the hook's 30 s deadline in the snapshot step on a
1,725-file repository; cluster replays now use 30 s x a measured slowdown
factor, verified on a native sample. The engine runner deletes each pin's fetched
source (1.8 GB had accumulated), caps the cache at 500 MB and refuses below
1.5 GB free. Proof 4.4: two engine pins via the generic dispatcher match the VM
baseline exactly. Implemented with Codex.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Decisions: long-deadline arm (300 s), adoption needs no unseen regression
(Req 5.4), permissive repositories by name only, two AX lanes. Also adds the
trained-classifier and joint-optimisation arms to learned-decision-engine.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
