Files
ai-workflow-course/modules/07-worktrees-running-agents-in-parallel/lab/agent-b-prompt.md
T
claude f925fd9645 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
2026-06-22 21:58:17 -04:00

593 B

Agent B prompt — the remaining command

Paste this into the AI session you've pointed at the tasks-app-remaining worktree folder.


Add a remaining command to this task app that prints how many tasks are still pending.

  • Reuse the existing pending() method on TaskList in tasks.py; don't reimplement it.
  • Wire a remaining command into the dispatch in cli.py.
  • Running python cli.py remaining should print something like 2 pending (the number of tasks not marked done).

Make the change, then stop. I'll review the diff, then have you commit it on this branch.