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Code RoomError handling omission
MediumPrep Room Coding #4349

Error handling omission

Vibe & agenticCode quality & reviewEntry–Mid~12 min

You asked an AI assistant for a Python function that reads a JSON config file and returns the parsed dict. It gave you a clean three-liner that opens the file, calls json.load, and returns the result. It works perfectly when you point it at a good file. What did the AI likely leave out, and how do you decide whether that omission matters before shipping it?

Implement
read_config_value(lines: list[str], key: str, fallback: str) → str
Examples
in[["timeout_ms=250","retries=3"],"retries","1"]out"3"
in[["timeout_ms=250"],"retries","1"]out"1"
in[["# retries=9","retries= 4 "],"retries","1"]out"4"
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.

0:00 of about 12 min

Vibe & agentic: describe the solution in plain language (or narrate it) and the coach grades your approach.

Which questions mattered is sealed until you submit. Telling you now would just be handing over the edge cases.