LeetCode Pattern/Sliding Window/Why Your Sliding Window "Shrinks Wrong" — A Debugging Guide

Why Your Sliding Window "Shrinks Wrong" — A Debugging Guide

LeetCopilot Team
Nov 8, 2025
8 min read
DebuggingSliding WindowCommon BugsInterview Tips
Stuck in an infinite loop? Window expanding too much? Learn the common bugs that cause Sliding Window solutions to fail and how to fix them with a simple debugging checklist.

You have the logic in your head: "Expand right, shrink left." You write the code. You run the test case.
Output: 0. Or IndexOutOfBounds. Or an infinite loop.

Sliding Window seems simple, but the shrinking logic is where 90% of bugs hide. In this guide, we will debug the most common reasons why your window "shrinks wrong" and give you a checklist to fix it.

TL;DR — Debugging Checklist

  • The Loop: Use while (invalid) to shrink, not if.
  • The Order: Expand -> Shrink -> Update Result.
  • The Update: Only update max/min when the window is valid (usually after the shrink loop).
  • The Trap: Negative numbers break the "shrink fixes it" logic.

Common bug scenarios

1. The "If" instead of "While" trap

You check if the window is invalid, remove one element, and continue.

  • Bug: The window might still be invalid after removing one element!
  • Symptom: Your window size is larger than allowed, or sums are slightly off.
  • Fix: Always use while (invalid) { shrink }.

2. Left pointer moves too early (or too late)

  • Scenario: You increment left before updating the window state (e.g., removing from sum).
  • Symptom: The sum/count excludes an element that is still technically inside the window boundaries [left, right].

3. Window condition mis-checked

  • Scenario: You check sum == K inside the shrink loop instead of outside.
  • Symptom: You miss valid windows because you shrank past them.

Pattern: “expand while condition valid → shrink when invalid”

The most robust mental model to prevent shrinking bugs is:

  1. Expand (add nums[right]).
  2. Loop (while condition is broken).
  3. Shrink (remove nums[left], increment left).
  4. Check/Update Result (now that window is valid).

Visualizing the State:
At the end of the while loop, the window [left, right] is guaranteed to be valid (or empty). This is the safe time to update maxLength.

Debugging checklist

If your code is failing, run through this list:

  1. Print Window Boundaries: Inside the loop, print left, right, and the current sum or map.
    • console.log(L:{right} Sum:${sum})
  2. Replicate with Simple Data: Don't debug with the massive failed test case. Use [1, 1, 10, 1] or "abcba".
  3. Check Edge Cases:
    • Does it handle the first element correctly?
    • Does it handle an empty array?
    • Negative Numbers: Remember, if you have negatives, shrinking might not fix the condition. (See When NOT to Use).

Real code example: Incorrect vs Correct

Problem: Find the length of the smallest subarray with sum .

❌ The Buggy Version

function minSubArrayLen(target, nums) {
    let left = 0, sum = 0, minLen = Infinity;
    for (let right = 0; right < nums.length; right++) {
        sum += nums[right];
        if (sum >= target) { // BUG: Should be 'while'
            minLen = Math.min(minLen, right - left + 1);
            sum -= nums[left];
            left++;
        }
    }
    return minLen === Infinity ? 0 : minLen;
}
javascript

Why it fails: If nums = [1, 1, 1, 1, 100] and target = 7. When we hit 100, sum is 104. We shrink once (remove 1). Sum is 103. Loop ends. We report length 4. Correct answer is 1 (just [100]).

✅ The Corrected Version

function minSubArrayLen(target, nums) {
    let left = 0, sum = 0, minLen = Infinity;
    for (let right = 0; right < nums.length; right++) {
        sum += nums[right];
        while (sum >= target) { // FIXED: Keep shrinking until invalid
            minLen = Math.min(minLen, right - left + 1); // Update result while valid
            sum -= nums[left];
            left++;
        }
    }
    return minLen === Infinity ? 0 : minLen;
}
javascript

Tooling & visualization tips

  • Paper Tracing: Draw the array. Use two fingers. Move them exactly as your code dictates.
  • Debugger: Set a conditional breakpoint on right.
  • Invariant Check: Ask yourself: "At line X, is sum exactly equal to the sum of nums[left...right]?"

Summary

Shrinking bugs usually come from under-shrinking (using if) or updating state out of order. Stick to the standard pattern: Expand -> While Invalid Shrink -> Update Result.

Next Step:
Even if your logic is right, you might still get the length wrong by one index. Fix that with Sliding Window Off-by-One Errors.

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