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Module VC-09VIBECODE

Implement the Capstone Task Planner

VIBECODE • Vibe Coding: AI-First Software Delivery

Browser-only practice

Problem Statement

Stage: Capstone: Ship and Learn

StudySprint needs a deterministic command-driven task core.

Deliverable

An active task list after ADD and DONE commands.

Input and output contract

Read ADD priority|title and DONE title commands; remove completed tasks and print remaining tasks by priority P0, P1, P2 then title.

Acceptance criteria

  1. Normalize unknown priority to P2.
  2. DONE removes an exact title.
  3. Print EMPTY when no tasks remain.

Suggested vibe loop

Read AGENTS.md, connect your Ollama or OpenAI-compatible provider in the browser, and ask the agent to restate the contract and make one small verifiable change. Watch edits stream into app.py while the editor is locked, then review the result and run the visible example. Keep the checkpoint when the evidence is correct or use Undo to restore it. The browser-client agent does not require an administrator gateway or API key.

Constraints

Use Python 3 standard library only. Read and follow AGENTS.md, keep main.py as the entry point, and implement solve(raw) in app.py.

Sample Testcases

Submit runs every public testcase in this browser. Results and code never leave this device.

Sample #1
Public sample
Input
ADD P1|Review notes
ADD P0|Finish lab
ADD P2|Choose theme
DONE Review notes
Output
P0 Finish lab
P2 Choose theme
Explanation
Runs an end-to-end task flow.

Web terminal

C, C++, Java, and Python run locally in a browser VM. No worker or visualizer is used.

Saved in this browser
Editor settings