I spent the first few minutes trying to think about this as some kind of BFS on a grid which was completely the wrong direction.
Model the problem as a connectivity question on a graph where nodes represent circles plus the two relevant boundaries (left/bottom and right/top). Determine if there is a chain of overlapping circles that connects the two boundary sets, which would block any path. Use union-find or BFS to check connectivity efficiently.
Pro tip: Clarify the boundary condition: the path may only touch the rectangle at the start and end corners, so any circle intersecting the left or bottom edge (excluding the start corner) or the right or top edge (excluding the end corner) should be considered as connected to that boundary. This subtlety often trips up candidates.
Confirm that the path must stay strictly inside the rectangle except at the two corners, and that circles may overlap or touch each other and the boundaries. Discuss how to handle circles that contain the start or end point.
Represent each circle as a node. Add edges between circles if they intersect or touch. Also add edges from circles to two super-nodes: one representing the left+bottom boundaries (excluding the start corner) and one representing the right+top boundaries (excluding the end corner).
Use union-find or BFS/DFS to determine if the two super-nodes are connected. If they are, then a continuous barrier of circles blocks all paths, so the answer is false. Otherwise, a path exists.
Check if the start or end point lies inside any circle; if so, return false immediately. Also consider if a single circle alone connects the two boundaries.
Discuss time complexity: O(n^2) for building edges, O(n α(n)) with union-find. Mention alternative approaches like geometric path planning (e.g., visibility graph) and their trade-offs.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.