Voice AI Interviewer
Talk naturally. Our AI interviewer listens, understands your code and asks smart follow-ups in real time.
Natural voice conversation
Reads your IDE and reasoning
Context-aware follow-ups
Practice with an adaptive AI interviewer that watches you code, runs your solution, checks edge cases, and evaluates how you think.
Voice Interview
Talk naturally with AI
Real Editor
Code like in real life
Instant Feedback
Report with diffs and notes
from typing import List def longest_subarray(nums: List[int], k: int) -> int:left = 0current_sum = 0max_len = 0 for right in range(len(nums)):current_sum += nums[right]while current_sum > k and left <= right:current_sum -= nums[left]left += 1max_len = max(max_len, right - left + 1) return max_lenShadows.sh simulates how senior engineers actually interview: live conversation, real-time coding, instant feedback, and deep analysis.
Talk naturally. Our AI interviewer listens, understands your code and asks smart follow-ups in real time.
Natural voice conversation
Reads your IDE and reasoning
Context-aware follow-ups
Write, run, and test your code in a secure sandbox. Get instant results as you go.
Test Results
5/5 passedAdaptive questions based on your solution, approach, and edge cases.
Get a detailed report with code diffs, complexity analysis, feedback, and a scorecard.
Overall
Score
Strengths
Sliding window approach
Time complexity optimal
Areas to Improve
Edge case coverage
Variable naming
Next Steps
Practice two-pointer patterns
Review boundary cases
A LIVE INTERVIEW, STEP BY STEP.
From first question to final feedback, Shadows simulates real interviews so you can practice with purpose.
Pick a role, difficulty, and topic. We tailor the interview to match.
Discuss your approach, ask questions, and code while the AI listens.
Run your code, see results instantly, and get follow-up questions that go deeper.
Receive a detailed report with scores, strengths, gaps, and personalized next steps.
Realistic and Adaptive
Interviews adapt to your answers just like in real life.
Deep Technical Evaluation
We evaluate not just what you code, but how you think.
Instant Feedback
Know where you stand and what to improve immediately.
Private and Secure
Your data stays yours. Always encrypted.
from typing import List def longest_subarray(nums: List[int], k: int) -> int:left = 0current_sum = 0max_len = 0 for right in range(len(nums)):current_sum += nums[right]while current_sum > k and left <= right:current_sum -= nums[left]left += 1max_len = max(max_len, right - left + 1) return max_lenOverall
Score
Strengths
Sliding window approach
Time complexity optimal
Clear explanation
Areas to Improve
Edge case handling
Variable naming clarity
Next Steps
Practice similar problems
Review two-pointer patterns
Straight answers to common questions so you can move forward with confidence.
No installation required. Shadows runs in your browser, so you can sign in and start your interview.
No. Shadows only sees what you choose to share. Your code editor stays private.
Your code runs only in the controlled interview sandbox. The page never needs access to your local machine.
After the interview, you get a structured report with scores, strengths, and actionable feedback.
Both. Individuals use it to level up. Teams use it to evaluate candidates consistently.
Yes. Sessions are designed around explicit sharing, encryption, and minimal data exposure.
Stop practicing in silence. Start thinking in public with AI feedback that hears what you mean.
WHAT IS ACTUALLY IN THE BOX._
The question bank, the test cases behind it, and what has been run through Shadows.sh so far.
76
Questions in the library, seeded from the Blind 75
891
Test cases behind them, visible and hidden
47
Interviews run end to end on Shadows.sh
31
Finished with a full AI scorecard