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Cursor Agent 68d12457ba build: budget-aware layer packing (default auto, max 127 layers) ... The new default 'auto' strategy keeps one layer per wheel while the total image layer count (base + deps + app) fits a budget (default 127), and otherwise bin-packs wheels into the budget by hashing each distribution's normalized name to a stable bucket. A wheel's bucket depends only on its name, so adding, removing, or version-bumping one dependency changes only that bucket's layer — every other layer keeps its digest and is reused. - MaxLayers / MaxWheelLayers options; base layer count + app layer reserved - group layers built in parallel and content-addressed in the cache - tests: packing, stable bucketing, budget from max-layers (base/app reserved), clamp when base exceeds cap, and the reuse guarantees (add dep / version bump change <= 1 layer), reproducibility Co-authored-by: Jason Hall <imjasonh@users.noreply.github.com>		2026-06-10 23:47:57 +00:00
.github/workflows	ci: run the built image on macOS too (Intel runner + Docker via Colima)	2026-06-10 21:53:37 +00:00
cf-worker
cf-worker-container
cf-worker-go
container-vm
driftlessaf
gitea
iap
image-workflow
litestream
pymage	build: budget-aware layer packing (default auto, max 127 layers)	2026-06-10 23:47:57 +00:00
.devcontainer.json
.gitignore
LICENSE