Question
A probe log has one line per health check: "<ts> <service> <status>", with status "ok" or "error". For each service, look at its own checks in log order and find its longest run of consecutive "ok" results (checks of other services in between do not interrupt a run). Given at least one line, return the service with the longest such run; break ties by the alphabetically smallest service name. A service whose checks are all errors has a longest run of 0 and still participates.
steadiest_service(lines: list[str]) → str[["t1 api ok","t2 db ok","t3 api ok","t4 api error","t5 db ok","t6 api ok","t7 db ok"]]out"db"State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
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.