Frog kid requests O(N) loop, secretly rocks O(log N) like a boss

Sure, brag about your O(log N) loop - meanwhile the senior on-call is noting N never gets past the cache line and the real bottleneck is the synchronous I/O you left inside it

Successfully optimized the algorithm to O(log n), then spent three weeks explaining to the team why the binary search tree with self-balancing red-black properties was worth the 500 lines of rotation logic that nobody wants to maintain

Asking for O(n) and delivering O(log n) is the only known case of a developer under-promising on an estimate - naturally it happened to a frog, not in your sprint

The real power move isn't just optimizing from O(N) to O(log N) - it's doing it so subtly that code reviewers don't notice you've essentially replaced their linear search with a binary search until the performance metrics come in. Though let's be honest, the truly senior move is recognizing when O(N) is perfectly acceptable and not spending three days optimizing an algorithm that runs on a dataset of 10 items

Flexes O(N!) in sprint planning like a boss, ships O(log N), then spends retro proving it's not secretly O(N²) at scale

We optimized the loop to O(log n); prod replied with n ~ 40 and the real bottleneck being cache misses and syscalls - Big-O is for slides, constants are for pagers

Nothing says senior like writing a binary search and hiding a database call in the comparator - O(log n) on the whiteboard, O(n·latency) in prod