Problem Statement

Longest Substring Without Repeating Characters

You are given a string s. A substring is a run of characters that sit next to each other, with no gaps. Your job is to find the longest run where no character repeats, and return its length.

mediumStringHash TableSliding WindowSliding WindowTime: O(n) · Space: O(min(n, m))

Signals to notice

longest substringno repeating charactersvariable-size window

Brute force first

Check every substring for unique characters — or. That instinct is useful because it follows the prompt literally, but it usually keeps revisiting work the problem is begging you to organize.

The key insight

Sliding window with a set: expand right, shrink left when duplicate found. The goal is not to be clever for its own sake, but to remember the one relationship that keeps the solution grounded as you move forward.

Trace it on s="pwwkew"

right=0 'p': not in set → add; set={p}, left=0, maxLen=1
right=1 'w': not in set → add; set={p,w}, left=0, maxLen=2
right=2 'w': dup → remove 'p'(left→1), remove 'w'(left→2); add 'w'; set={w}, maxLen=2
right=3 'k': not in set → add; set={w,k}, left=2, maxLen=2
right=4 'e': not in set → add; set={w,k,e}, left=2, window="wke", maxLen=3
right=5 'w': dup → remove 'w'(left→3); add 'w'; set={k,e,w}, maxLen=3
loop ends → return maxLen = 3

What must stay true

The window always contains unique characters — shrink left until the duplicate is removed. If that remains true after every update, the rest of the reasoning has a stable place to stand.

Shape of the loop

set ← {}; left ← 0; maxLen ← 0
for right in 0..n-1:
    while s[right] in set:        # shrink from left
        set.remove(s[left]); left ← left + 1
    set.add(s[right])
    maxLen ← max(maxLen, right - left + 1)
return maxLen

Pseudocode only — the full worked solution lives in the Solution tab.

Easy way to go wrong

Not shrinking the window properly — remove characters from the set as you move left. The fix is usually to return to the meaning of each move, not just the steps themselves.

Sliding Window Pattern