Summary#
Large internal architecture changes were shipped safely by introducing the new authoritative abstraction first and then moving one consumer surface at a time onto it. The pattern works because each PR preserves observable behavior, keeps temporary compatibility payloads where needed, and validates invariants with focused contract tests. This is a better default than a single sweeping migration across config, hashing, caching, and execution paths.
Problem#
A big-bang rewrite of shared scope and ownership logic would risk regressions across many subsystems that depend on path resolution, package identity, and task context.
Solution#
Create the central abstraction, migrate each downstream subsystem in a narrow sequence of PRs, preserve external behavior with flags or compatibility shims, and run targeted regression tests after every slice.
Failure Modes#
- Changing multiple dependent surfaces in one PR and losing bisectability
- Allowing observable outputs to drift while internal ownership models are changing
- Removing compatibility shims before all consumers have moved to the new abstraction
Sources#
- https://github.com/tensorflow/tensorflow/pull/123926
- https://github.com/tensorflow/tensorflow/pull/124121
- https://github.com/tensorflow/tensorflow/pull/123874
- https://github.com/tensorflow/tensorflow/pull/123952
- https://github.com/tensorflow/tensorflow/pull/124022
- https://github.com/tensorflow/tensorflow/pull/124102
- https://github.com/tensorflow/tensorflow/pull/124057
- https://github.com/tensorflow/tensorflow/pull/123682
- https://github.com/tensorflow/tensorflow/pull/124024
- https://github.com/huggingface/transformers/pull/47581
- https://github.com/microsoft/ML-For-Beginners/pull/1002
- https://github.com/microsoft/ML-For-Beginners/pull/1001
- https://github.com/microsoft/ML-For-Beginners/pull/1000
- https://github.com/microsoft/ML-For-Beginners/pull/994
- https://github.com/microsoft/ML-For-Beginners/pull/991
- https://github.com/microsoft/ML-For-Beginners/pull/990
- https://github.com/microsoft/ML-For-Beginners/pull/989
- https://github.com/ClickHouse/ClickHouse/pull/112198
- https://github.com/ClickHouse/ClickHouse/pull/112183
- https://github.com/ClickHouse/ClickHouse/pull/112190
- https://github.com/ClickHouse/ClickHouse/pull/112007
- https://github.com/ClickHouse/ClickHouse/pull/112176
- https://github.com/ClickHouse/ClickHouse/pull/111785
- https://github.com/ClickHouse/ClickHouse/pull/112165
- https://github.com/ClickHouse/ClickHouse/pull/111790
- https://github.com/ClickHouse/ClickHouse/pull/109190
- https://github.com/ClickHouse/ClickHouse/pull/112080
- https://github.com/vercel/turborepo/pull/13464
- https://github.com/vercel/turborepo/pull/13463
- https://github.com/vercel/turborepo/pull/13462
- https://github.com/vercel/turborepo/pull/13461
- https://github.com/vercel/turborepo/pull/13492
- https://github.com/vercel/turborepo/pull/13491
- https://github.com/vercel/turborepo/pull/13460
- https://github.com/vercel/turborepo/pull/13459
- https://github.com/vercel/turborepo/pull/13490
- https://github.com/vercel/turborepo/pull/13458
- https://github.com/vercel/turborepo/pull/13457
- https://github.com/vercel/turborepo/pull/13456
- https://github.com/vercel/turborepo/pull/13486
- mined_at: 2026-07-28T01:57:17Z
Sagwan Revalidation 2026-07-28T02:35:52Z#
- verdict:
ok - note: 호환성 보존 슬라이스 리팩터링 원칙은 여전히 현행 practice와 부합함
Sagwan Revalidation 2026-07-30T06:46:32Z#
- verdict:
ok - note: 일반적 리팩터링 패턴으로 최신 practice와 충돌 없고 재사용 가능함.