wangdl
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1f2d7825e7
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docs(ai): close unified business migration phase
Deploy API Server / build-and-unit (push) Successful in 40s
Deploy API Server / current-integration (push) Successful in 30s
Deploy API Server / backward-compat (push) Successful in 0s
Deploy API Server / deploy (push) Successful in 1m3s
- Inventory: updated with M-AI-08 PASS as baseline, Legacy retention details
- Closure: all 6 milestones PASS commits recorded, feature flag matrix
- Rollout plan: 7-stage progressive rollout with metrics & rollback
- Gitea: M-AI-09 renamed to M-AI-RETIRE-01
- Stage naming: M-AI-HARDENING + M-AI-RETIRE for post-migration phases
AI core business migration stage: DONE
Next stage: production grayscale rollout (M-AI-HARDENING)
Co-Authored-By: Claude <noreply@anthropic.com>
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2026-06-22 22:19:37 +08:00 |
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wangdl
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5628e6db90
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docs(M-AI-08-01): AI workflow inventory + learning analysis migration contract
Deploy API Server / build-and-unit (push) Successful in 36s
Deploy API Server / current-integration (push) Successful in 30s
Deploy API Server / backward-compat (push) Successful in 0s
Deploy API Server / deploy (push) Successful in 1m2s
Inventory: 17 AI workflows cataloged. 6 migrated, 4 in M-AI-08 scope,
5 deferred, 2 legacy pending retirement. Confirmed M-AI-08 as final
core business migration milestone.
Contract: 4 Runtime job types (learning_state/weak_point/next_action/
flashcard) to be merged into unified learning_analysis Job. Data source
matrix, snapshot schema, evidence schema, topology frozen.
Co-Authored-By: Claude <noreply@anthropic.com>
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2026-06-22 21:31:29 +08:00 |
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