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refactor(todos): remove internal file-based todo system (#635)
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Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Trevin Chow
2026-04-21 18:16:13 -07:00
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commit accbd2adcf
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docs/solutions/best-practices/ce-pipeline-end-to-end-learnings-2026-04-17.md
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@@ -294,7 +294,6 @@ The artifact version stands on its own without the external reference. A future
- [research-agent-pipeline-separation-2026-04-05.md](../skill-design/research-agent-pipeline-separation-2026-04-05.md) — Establishes the brainstorm / plan / work stage separation. This learning extends downstream to doc-review, ce:review, and resolve-pr-feedback, and focuses on what issues surface at each stage rather than what research dispatches.
- [compound-refresh-skill-improvements.md](../skill-design/compound-refresh-skill-improvements.md) — The 6-item skill review checklist is a natural companion for review-time prevention rules, particularly around cross-phase consistency and blind-user-question avoidance.
- [beta-promotion-orchestration-contract.md](../skill-design/beta-promotion-orchestration-contract.md) — Contract-tests-enforce-orchestration-assumptions pattern for the ce:review surface; direct prior art for structural assertion philosophy.
- [todo-status-lifecycle.md](../workflow/todo-status-lifecycle.md) — Closely related on the downstream half of the CE pipeline; "make state transitions load-bearing, not advisory" parallels per-finding judgment discipline.
- [git-workflow-skills-need-explicit-state-machines-2026-03-27.md](../skill-design/git-workflow-skills-need-explicit-state-machines-2026-03-27.md) — Methodologically aligned ("state machine over prose" ≈ "structural assertions over prose"), different domain.
- [pass-paths-not-content-to-subagents-2026-03-26.md](../skill-design/pass-paths-not-content-to-subagents-2026-03-26.md) — Companion for any subagent-template changes, particularly around instruction phrasing.
- [codex-delegation-best-practices-2026-04-01.md](codex-delegation-best-practices-2026-04-01.md) — Canonical example of sampling-evidence-over-assumption at depth (6 evaluation iterations, empirical token measurement).