This insight comes from an actual on-campus round recently conducted by Samsung in our college.

We were given 3 hours to solve a single problem in Round 1. The question (as far as I remember) involved:
a square matrix, seven types of pipes, each allowing movement in specific directions, a starting position, and the task was to compute the maximum number of reachable steps from that position through valid pipe connections.

Many attempted it using DFS. Out of 50 test cases, those who used DFS typically passed around 42. But candidates who used BFS received a perfect 50/50.

That round made one thing clear:
DFS can explore, but BFS guarantees correctness whenever distance, levels, or minimal steps matter.

This article explains exactly why BFS worked flawlessly in that problem, and more importantly, when BFS is the right tool, with complete explanations from beginner-level to advanced competitive programming search techniques.

What you would be learning in this:
Quick Summary: When to Use BFS vs DFS
BFS Intuition
DFS Intuition
When to Use BFS Over DFS

Shortest Path in Unweighted Graphs
Level-Order Processing
Multi-Source BFS
State-Space Search
Nearest Valid Target
Bipartite Checking and Graph Coloring
Flood-Fill with Distance or Timing

Advanced BFS Topics (Competitive Programming Level)

0–1 BFS
Bucketed BFS / Dial’s Algorithm
BFS + DP (Level-Based DP)
Bitmask BFS
Bi-directional BFS
Reverse BFS (Multi-End BFS)
State-Compression BFS
Tree BFS for Depth, Parents, and LCA Preprocessing
Real-World Applications of BFS

Practice Problems

Basic
Medium
BFS + DP
0–1 BFS
Bitmask BFS
Bi-directional BFS
Hard / CP-Level BFS

To crack and master it:
Read Your Plan Here

Would love to indulge your patterns, Qns and add-ons, do share your thoughts!
If you found this post useful please upvote.
All The Best!!
Happy Coding!!

Other 12Hrs Speedruns:
Graphs
Binary Trees
Binary Search
Stacks and Queues
DP

Links to my other shares you might find useful:
Complete Plan (1st yr-3rd yr) (DSA + Projects + Core CS)
24 Hours DSA Speedrun For Interview/Practice
15 Core Greedy Patterns for Coding Interviews
10 Sliding Window Patterns For Coding Interviews
15 DP variations for Interviews
Amazon ❤️ Trees; Google ❤️ Graphs; Microsoft ❤️ DP; Meta ❤️ fusion => interviewers ❤️ DSA
10 N-ary Tree Problems For Interviews That Define Google-Level Thinking