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claude fbec36cb67 feat(course): build out all 27 modules, capstone, scaffold, and conventions

Scaffold the course repo and author the full curriculum in dependency-chain
order, following the settled build decisions in handoff.md.

- Scaffold: course README, vendor-neutral AGENTS.md (dogfoods Module 5),
  _TEMPLATE.md (the fixed 9-section module shape), root .gitignore, ship config.
- Modules 1-2: reference exemplars (locked for tone/depth/lab style).
- Modules 3-27: full lessons + runnable labs, each following the template,
  respecting the chain, vendor/model-agnostic, with "feel the pain" labs.
- Module 8 hosting comparison web-researched and date-stamped (as of 2026-06-22),
  not written from memory; expansion-zone modules carry Verify-before-publish.
- Capstone: the full loop end to end on the running tasks-app example.

Lab code syntax-checked (Python/shell/YAML); every module has the 7 core
template sections.

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

2026-06-22 12:18:30 -04:00

557 B

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Agent B prompt — the `count` command

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

Add a count 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 count command into the dispatch in cli.py.
Running python cli.py count should print something like 2 pending (the number of tasks not marked done).

Make the change, then stop — I'll review the diff and commit it myself.

557 B Raw Blame History

Agent B prompt — the count command

557 B

Raw Blame History

Agent B prompt — the `count` command