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ai-workflow-course/modules/13-testing-in-the-ai-era/lab/start/README.md
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feat(labs): make every lab a self-contained, skip-friendly starting point
Each lab now stands on its own; no hard dependency on prior labs.
- App-based labs get a canonical tasks-app snapshot in lab/start/ (three
  baselines: v0 add/list/done; v1 +count; v2 +count/delete), assigned by where
  each module sits in the command timeline. Modules with a purpose-built app
  (M10 trap, M13 planted bug, M21) snapshot their own app; planted devices kept.
- Self-contained labs (M15/17/18/19/22/23/24/25/27, which operate on their own
  lab files) get a preamble pointing at modules/NN/lab/.
- Every module + capstone gets a "Starting point (skip-friendly)" preamble:
  copy the snapshot, git init -b main, commit -> clean status, then start.

Lets a learner skip around or recover: copy start/, commit, go. All snapshots
run; tools/check.sh passes; no em-dashes.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT
2026-06-23 18:24:17 -04:00

856 B

Demo app: tasks (Module 13 copy)

The same tiny task tracker from Modules 1 and 2, with one feature added: a count command backed by TaskList.pending_count(). Use this copy for the Module 13 lab so everyone starts from the same code, including the same latent bug.

If you already have a tasks-app from earlier modules, you can use that instead; just make sure it has a count command (the Module 2 lab added one). The planted bug in this copy is there on purpose.

Files

  • tasks.py: core logic (Task, TaskList), now with pending_count().
  • cli.py: command-line front end. Adds count.

Run it

python cli.py add "write the tests"
python cli.py add "fix the bug"
python cli.py done 0
python cli.py list
python cli.py count

Requires Python 3.10+. No third-party packages; tests use the standard library unittest.