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ai-workflow-course/modules/25-autonomous-agents/lab/issue-delete-command.md
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claude c098933f25
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De-slop: remove every em-dash + banned words across all modules + capstone (#94)
Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
2026-06-22 23:21:22 -04:00

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<!--
The agent's INPUT for Module 25. This is a well-formed issue in the Module 9 format: title,
context, acceptance criteria, scope. It is deliberately a good candidate for an agent: well-
scoped, concrete, and it mirrors a pattern already in the codebase (the existing `done` command).
The orchestrator (agent_runner.py) reads this file and pairs it with your committed AI config
(Module 5) to build the agent's brief. Edit it and you change what the agent attempts.
-->
# Add a `delete <index>` command to the CLI
**Type:** feature · **Priority:** p2 · **Labels:** `cli`, `ready`, `agent`
## Context
`tasks-app` can `add`, `list`, and mark a task `done`, but there's no way to remove a task. Once a
task is added by mistake it stays forever. The `done` command already takes an index and mutates the
list through a method on `TaskList`, so a `delete` command should follow the exact same shape. This
is a patterned change, not a design problem.
## Acceptance criteria
- `python cli.py delete <index>` removes the task at that 0-based index and saves the list.
- After deleting, the remaining tasks keep their relative order.
- `delete` with an out-of-range or non-integer index prints a clear error (e.g.
`no task at index 99`) and exits non-zero, instead of dumping a traceback.
- The logic lives on `TaskList` (a `remove(index)` method or equivalent), mirroring how `complete`
works; `cli.py` only parses arguments and calls it.
- A test covers: a successful delete removes the right task, and an out-of-range delete is handled.
## Out of scope
- Changing how tasks are stored or numbered.
- Bulk delete, undo, or a confirmation prompt.
- Reworking the existing `add` / `list` / `done` commands.