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Transform the reviewed test stubs into executable test bodies, with the code-quality gate applied here.
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Basierend auf der SOC-Berufsklassifikation
Compile the contract set in your head — simulate how the real application would run from the specs, and disprove (or confirm) it works before any source .py is written.
Author test stub files (.pyi) whose signatures express the domain, relationships, and compositions, as the first contract surface.
Funnel level 3 — identify building-block names and rough boundaries only, and run gap analysis.
Funnel level 1 — establish the big picture with seven broad questions, applying CIT, Laddering, and CI Perspective throughout.
Squash-merge the feature commits into dev, regenerate docstrings, and verify the whole suite plus whole-suite stubtest are clean.
Publish the delivered batch as release notes, a PR to main, or a tagged release.
| name | write-test-py |
| description | Transform the reviewed test stubs into executable test bodies, with the code-quality gate applied here. |
.cache/<session_id>/journal.md (always present — bootstrapped at plan entry by model-data-schema) and .cache/<session_id>/interview-notes.md. Two rework trigger sources feed the backlog: (a) IF the journal carries escalation findings from build THEN edit the bodies of the contracts it names to match the reworked stubs; (b) IF the interview notes flag findings that MODIFY an existing block THEN edit the bodies of those contracts to match the reworked .pyi. Either source is rework — step 9 re-applies the pending marker. Skip both if neither carries rework.ruff check .) on the authored test files; fix every violation so build receives bug-clean tests. Restructure lint (SIM, RUF) and ruff format are merge-time per [[software-craft/docstring-lifecycle]] — do not format here..py you just wrote: uv run python scripts/strip_docstrings.py <authored *_test.py files>.