Sliding Window on string

Last updated: February 16, 2026

Quick Overview

Given a string, implement the Sliding Window algorithm to find the length of the longest substring without repeating characters. Your function should take a single string as input and return an integer representing the length of the longest substring.

Atlassian
Coding & Algorithms
Software Engineer
Atlassian
February 16, 2026
Software Engineer
Take-home Project
Coding & Algorithms
Hard

14

15

4,510 solved


Given a string, implement the Sliding Window algorithm to find the length of the longest substring without repeating characters. Your function should take a single string as input and return an integer representing the length of the longest substring.

This coding problem is frequently asked during Take-home Project at Atlassian. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Atlassian expects candidates to write production-quality code, not just solve the puzzle.

What the Interviewer Expects
  • Quickly identify the optimal approach and its theoretical basis
  • Handle complex algorithm design with multiple interacting components
  • Write concise, elegant code under time pressure
  • Prove correctness of your approach and discuss alternative solutions
  • Optimize beyond the obvious: discuss constant factor improvements
  • Address follow-up variations and explain how the solution generalizes
Key Topics to Cover
Edge cases and input validation
Sorting and searching
Tree structures and recursion
Hash maps and frequency counting
Data structure selection and trade-offs
Dynamic programming and memoization
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • What happens if the input contains duplicates?
  • What if the input doesn't fit in memory?
  • How would you modify your solution to handle streaming input?
  • Can you solve this iteratively instead of recursively (or vice versa)?
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Sample Answer
Problem Analysis

The problem requires us to find the length of the longest substring without repeating characters from a given string. The sliding window technique is optimal here because it allows us to dynamically a...

Approach
  1. Initialize two pointers, left and right, to represent the current window of characters. Start both at the beginning of the string.
  2. Use a dictionary to track characters and their latest ind...

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