Depth-first search explores one branch of a graph fully before backtracking, using recursion or an explicit stack. It suits path finding, cycle detection, and topological ordering.
Depth-first search (DFS) - Interview Concepts - ExtraBrain is part of ExtraBrain's local-first Mac workflow for live interviews, meetings, transcription, provider control, and responsible AI use.
Depth-first search explores one branch of a graph fully before backtracking, using recursion or an explicit stack. It suits path finding, cycle detection, and topological ordering.
ExtraBrain has 1 current public platform family, macOS, with support for 2 Mac CPU families: Apple Silicon and Intel.
ExtraBrain has 3 configurable data paths to review before sensitive work: local Parakeet transcription, local Gemma 4 where installed and compatible, and external providers you choose.
Implement DFS with recursion or an explicit stack plus a visited set to avoid revisiting nodes.
DFS supports cycle detection, connected components, topological sort, and exhaustive path search.
Prefer DFS when you must explore full paths or structure, not the shortest one.
Use any live AI assistant only where interview, workplace, school, and platform rules allow it. Do not use generated answers to misrepresent your skills, experience, or authorship.
Short answers for people and crawlers comparing ExtraBrain with other live AI assistants.
Use DFS for exhaustive path exploration, cycle detection, connected components, and topological sorting.
DFS runs in O(V + E) time and O(V) space for the visited set and recursion or stack.
