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See plansData Structures and Algorithms
Master algorithmic thinking and problem-solving patterns
AI coding interview
Pick a problem or a company coding round. The AI interviewer runs your code on real test cases, then asks why.
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Master algorithmic thinking and problem-solving patterns
AI coding interview
Solve a real interview problem out loud while a voice AI interviewer listens. Your code is compiled and run against the problem's hidden test cases in 6 languages, the interviewer sees what passed and what failed, and then it asks the follow-ups a senior engineer would: complexity, edge cases and the faster approach. Most AI interview tools only grade what you say. This one grades what your code does.
Step 1
One of 410 DSA problems, a pattern, a company's question set, or a random problem at your level.
Step 2
Ask about input size and constraints, then explain your approach before you type, as you would in the real round.
Step 3
Write the solution in the browser editor in Python, C++, Java, JavaScript, Go and C#. Each run executes against real test cases, and the interviewer sees the result.
Step 4
Answer follow-ups on complexity, failing inputs and trade-offs, then read a scored report a minute after you finish.
Every submission is compiled and executed against the problem's stored test cases in 6 languages: Python, C++, Java, JavaScript, Go and C#. If an edge case fails, the interviewer knows, and it asks you to find the bug the way an interviewer at a real coding round would. 81,000+ code submissions have run on the platform.
A complexity claim with no justification, a missing empty-input check or an unexplained data structure gets a follow-up question. You practise the part of the coding interview that a LeetCode submission never tests: explaining and defending the solution under time pressure.
The 410 DSA problems are grouped into 99 patterns in 16 families, so you can drill sliding window or graphs until they stick. You can also scope a round to one of 160 companies with interview data behind them.
Problem rounds run for 30 minutes, the length of a typical phone screen. The report scores understanding the problem, approach and optimisation, code quality, verification and communication separately, quotes your own words as evidence, and names the one thing to fix before the next round.
Coding interviews reward pattern recognition. The same account that runs your mock interviews gives you structured learning paths and the standard problem lists, each problem one click from an AI interview on it.
99 patterns in 16 families, with lessons, animations and practice problems.
The NeetCode 150 list, grouped by pattern, with an AI interview button on every problem.
The classic 75-problem list for a short runway before a coding interview.
Interview data from 160 companies, so you can practise the problems your target company asks.
| Option | Price (USD) | What you get |
|---|---|---|
| Thita Starter | $0 | 2 AI interviews in your first week, then 1 a month. No card needed. |
| Thita Pro | $14.99/month or $75/year | 15 AI interviews a month (about $1 an interview), AI code feedback, company kits and both 90-day roadmaps. |
| Thita Elite | $29.99/month or $120/year | 30 AI interviews a month and all 11 learning paths. |
| interviewing.io human mock | From $179 per session[source] | One anonymous mock interview with a senior engineer. |
One human mock costs more than two years of Thita Pro. Use AI coding interviews for the volume of practice, and book a human session for a final calibration if you want one.
Thirty minutes, one problem, out loud, with your code actually run. Then read what the interviewer noticed.