💻 Real-Time Algorithm Coach

Coding Interview AI

Ace your coding interviews with our AI-powered real-time algorithm coach. Get instant code suggestions, optimization tips, and expert guidance for technical interviews at top companies.

Key Algorithms Our AI Helps You Master

Binary Search
Time: O(log n) | Space: O(1)
Efficiently find elements in sorted arrays by repeatedly dividing the search space in half. Our AI provides implementation guidance and optimization tips.
Depth-First Search (DFS)
Time: O(V + E) | Space: O(V)
Traverse or search tree/graph data structures by exploring as far as possible along each branch. Get real-time implementation help from our AI.
Breadth-First Search (BFS)
Time: O(V + E) | Space: O(V)
Explore all neighbor nodes at the present depth before moving to nodes at the next depth level. Our AI guides you through optimal implementations.
Dynamic Programming
Varies by problem
Solve complex problems by breaking them down into simpler subproblems. Our AI helps identify DP patterns and optimization opportunities.
Sliding Window
Time: O(n) | Space: O(1) or O(k)
Efficiently process subarrays or substrings of fixed or variable size. Get implementation guidance and pattern recognition from our AI.
Two Pointers
Time: O(n) | Space: O(1)
Solve array problems with two pointers moving towards or away from each other. Our AI provides real-time implementation tips.
Backtracking
Time: O(b^d) | Space: O(d)
Find all (or some) solutions to combinatorial problems by incrementally building candidates and abandoning those that fail. Get expert guidance from our AI.
Heap / Priority Queue
Time: O(log n) operations | Space: O(n)
Efficiently manage elements with priority ordering. Our AI helps implement heap operations and solve related problems.

See Our Coding Interview AI in Action

Coding Interview Question: Implement a function to find the longest substring without repeating characters
// Interviewer: "Can you implement a function to find the longest substring without repeating characters?" function lengthOfLongestSubstring(string) { // Your implementation here }

Approach: Use a sliding window technique with a hash map to track character positions.

Time Complexity: O(n) where n is the length of the string

Space Complexity: O(min(m, n)) where m is the size of the character set

Implementation:

function lengthOfLongestSubstring(s) {
  const charMap = new Map();
  let maxLength = 0;
  let windowStart = 0;
  
  for (let windowEnd = 0; windowEnd < s.length; windowEnd++) {
    const rightChar = s[windowEnd];
    
    // If character is already in current window, update window start
    if (charMap.has(rightChar) && charMap.get(rightChar) >= windowStart) {
      windowStart = charMap.get(rightChar) + 1;
    }
    
    // Update character position
    charMap.set(rightChar, windowEnd);
    
    // Update max length
    maxLength = Math.max(maxLength, windowEnd - windowStart + 1);
  }
  
  return maxLength;
}

Key Points to Explain:

  • We use a Map to store the most recent position of each character
  • The sliding window (windowStart to windowEnd) represents our current substring
  • When we find a duplicate, we move the window start to just after the previous occurrence
  • We continuously update the maximum length as we go

💻 Real-Time Coding Assistance

Our AI provides instant algorithm suggestions, code snippets, and optimization tips during live coding interviews, helping you tackle complex problems efficiently and demonstrate your technical expertise.

🧠 Algorithm Mastery

Access a comprehensive library of algorithms and data structures with our AI, complete with time/space complexity analysis and implementation strategies for common interview problems across all programming languages.

🔍 Code Review Guidance

Get intelligent suggestions for improving your code quality, identifying edge cases, and optimizing performance during technical interviews, ensuring your solutions are robust and efficient.

⚡ Language-Specific Support

Receive specialized help for multiple programming languages including Python, JavaScript, Java, C++, and more, with idiomatic code suggestions tailored to your preferred language and interview requirements.

🎯 Role-Specific Preparation

Get customized guidance for specific roles like frontend developer, backend engineer, full-stack developer, or mobile engineer, with focus on the coding challenges most relevant to your target position.

📝 Interview Strategy Coaching

Receive strategic guidance on how to approach technical problems, communicate your thought process effectively, and demonstrate your problem-solving skills to impress interviewers at top companies.

Ready to Ace Your Coding Interviews?

Join thousands of software engineers who've used our coding interview AI to solve complex problems, optimize their solutions, and land positions at top tech companies.

Get Your Coding Interview AI

Free trial available • Works with all major programming languages • Start coding with confidence

Related Algorithm Guides

Explore more algorithm interview guides powered by AI coaching

Trie Data Structure Applications In Interviews
AI-powered interview preparation guide
Nodejs Developer Asynchronous Programming Interview
AI-powered interview preparation guide
Ethical Dilemma Interview Question Preparation
AI-powered interview preparation guide
Embedded Systems Engineer Interview Questions
AI-powered interview preparation guide