Code Room
Vibe codingHard
Question
An AI agent wrote a function that builds a shell command and an accompanying Bash/Python test. The function interpolates a user-supplied filename into a tar command. The agent's test:
def test_archive_file(): cmd = build_tar_cmd("report.csv") assert cmd == "tar -czf out.tgz report.csv" # and it runs: assert run(build_tar_cmd("report.csv")) == 0The test passes and 'verifies archiving works.' Why does this test give dangerous false confidence, and what tests would actually protect you?
What a strong answer looks like
Treat the AI’s output as a draft to verify, not an answer to trust. Name the specific flaw and the input that triggers it, say how you’d catch it — tests, edge cases, reading critically — and how you’d re-prompt or decompose to get it right.
Learn the concepts
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.
Run or narrate your approach, then ask the coach.