fix(M7-27+capstone): apply AI-drives-git reframe, lesson=theory, de-slop course-wide

Phase 2 sweep — all modules are post-pivot, so the learner directs the AI agent
(Claude Code as the worked example) to do the git/setup work and verifies, instead
of typing commands by hand; no re-teaching basics. Lesson sections are theory with
example output; all execution lives in the labs. De-slopped ("prose" etc. gone
course-wide, em-dash density thinned). /path/to placeholders -> ~/ai-workflow-course.

Every deliberate teaching device verified intact: M10 ai-change.patch trap,
M12 bad-clear-snippet, M13/M27 planted pending_count bug, M15 secret+typosquat+MD5,
M18 BREAK=1, M21 absent-.gitignore, M22 poisoned skill, M24 no-op patch, M25 --simulate.
Labs compile/parse (py/sh/yaml/json); no junk.

Closes #83
Closes #86
Closes #89

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT

modules/13-testing-in-the-ai-era/lab/solution/reference_test_tasks.py

@@ -1,11 +1,12 @@
 """Reference test suite for the Module 13 lab. Peek only after you've tried it yourself.
 
 Named `reference_test_tasks.py` (not `test_*.py`) on purpose, so `python -m unittest discover`
-does NOT pick it up automatically. To run it directly from the tasks-app folder:
+does NOT pick it up automatically. To run it, copy it next to your working `tasks.py` (e.g.
+`~/ai-workflow-course/work/tasks-app/`) and run, from that directory:
 
-    python -m unittest path/to/reference_test_tasks.py
+    python -m unittest reference_test_tasks
 
-It assumes `tasks.py` is importable (run it from the tasks-app directory, or copy it there).
+It assumes `tasks.py` is importable, which is why you run it from the tasks-app directory.
 
 The point of this file is to show the difference between a test that asserts CURRENT BEHAVIOR
 (a tautology that passes against the bug) and a test that encodes INTENT (and fails until the