f925fd9645
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
1.2 KiB
1.2 KiB
Agent prompt — issue #44, branch feature/44-clear
Run this in the tasks-app-44-clear worktree. This agent deliberately collides with #42. Both
add a new elif to the same dispatch chain in cli.py — same file, same region. That's the
agent-vs-agent merge conflict the lab wants you to predict in Part A and resolve in Part C. It is not
a mistake in the lab; it is the lesson. Two agents on the same file is a joint, not a seam.
You are working in this worktree only. Do not touch any other folder.
Task: Add a clear command to cli.py that removes all tasks.
- Add a new
elif command == "clear":branch to the dispatch inmain()incli.py. - It should empty the task list and save, then print
cleared. - Reuse the existing
load()/save()helpers. Do not changetasks.py.
Acceptance criteria:
python cli.py clearremoves all tasks and printscleared.python cli.py listafterward shows(no tasks yet).
When done, commit your work on this branch with a message referencing #44, then push the branch. Stop
there; the human opens and reviews the PR, and should expect a conflict against feature/42-count at
merge.