The Vibe Coding Round
Explore how to navigate the Google FDE vibe coding round by clarifying ambiguous requirements and establishing clear implementation contracts. Learn to build and test a Python utility that processes document status records, handle revisions, and adapt solutions collaboratively under interview constraints.
“Build something that shows which documents have passed their checks.” The interviewer supplies three results: D-14/pass, D-28/fail, and D-35/pass. Your immediate job is to turn that incomplete brief into a small, executable contract while making uncertainty visible. Vibe-coding preparation develops exactly that combination: Clarifying, stating assumptions, delivering a working increment, adapting it, and debugging collaboratively.
Clarify the delivery
Before discussing architecture, ask who consumes the result and how they use it: “Is this a local utility, an API response, or something a person views?” Then establish the input representation, the output demonstrating success, and whether each document has exactly one current result.
For this exercise, the interviewer confirms:
Consumer and interface: A local Python utility reads a JSON array and prints a JSON summary.
Records: Each has
document_idandstatus; initially, there is one result per document.Meaning: Status is either
passorfail.Success: Return per-document statuses and counts.
State your boundary aloud: “The first release reads a local file and produces the summary. I’ll leave out cloud deployment, a UI, model calls, and persistence.” That boundary lets you make progress without implying answers to questions nobody has settled.
Public descriptions characterize this preparation category as collaborative implementation from a loosely specified brief; they do not establish the exact format of every candidate’s interview.
Set explicit defaults
An implementation contract specifies accepted inputs, output meaning, and failure behavior. A useful clarifying question changes that contract. Input shape, status meaning, duplicate handling, and invalid-record behavior affect correctness; output indentation is a reversible presentation choice.
Propose defaults when the interviewer leaves a choice:
Ordering: Sort documents by identifier so output is deterministic.
Empty input: Return an empty document list and zero counts.
Invalid input: Reject the request with a clear error, rather than silently dropping records.
Then ask for confirmation. A provisional assumption includes its consequence: “I’ll reject duplicate document identifiers because the current contract allows one result per document; does that match your intent?” Keep it open to correction.
Practice choosing the questions that must precede implementation.
Once those blockers are resolved, stop expanding discovery. A short spoken contract gives you a reference for both implementation and later changes; a lengthy requirements document consumes the time needed to demonstrate behavior.
Confirm tool permissions
The session’s label grants no tool permissions. Rules on AI assistance can vary by round; confirm them up front and treat unstated AI assistance as not permitted until clarified.
Distinguish four permissions explicitly: