Practice AI-native
coding interviews
Code with an AI assistant, explain your decisions to a live interviewer, and get a timestamped report on how you actually performed.
1 from fastapi import HTTPException 2 async def create_short_url(payload): 3 if not payload.url.startswith(("http://", "https://")): 4 raise HTTPException(422, "Invalid URL") 5 key = await generate_key() 6 async with repository.lock(key): 7 await repository.save(key, payload.url) 8 return {"short_url": f"/{key}"} 10 # Candidate owns final review
Choose realistic backend tasks
Practice on small repo-style backend tasks, not toy whiteboard problems.
Code with AI, but stay accountable
Use AI like you would in a real AI-forward interview. The platform tracks whether you reviewed, tested, and understood the changes.
I found a validation race that can create duplicate keys under concurrency.
- await repository.save(key, url)+ async with repository.lock(key):+ await repository.save(key, url)Defend your decisions out loud
A live voice interviewer follows the work, applies time pressure, and asks for reasoning—not narration.
“Walk me through why this patch is safer under concurrency.”
The lock makes key generation and persistence one atomic decision...
Get an evidence-based report
Every score is tied to hidden tests, patch decisions, debugging behavior, and timestamped voice evidence.
You reviewed AI output, caught a contract regression, and explained the final tradeoff.
Asked AI to inspect validation boundaries
Rejected patch that changed API contract
Accepted lock after reviewing diff
Explained concurrency tradeoff aloud
Ran final visible test suite
✓ URL normalization
✓ Collision retry
✓ Repository failure handling
✕ Burst concurrency
✕ Expired key cleanup
Simple practice credits
Start with one complete interview. Buy more only when you are ready to practice again.
Free
1 interview credit- ✓ Curated public problems
- ✓ Basic report
Starter
3 interview credits- ✓ 1 custom generation
- ✓ Report history
Prep
10 interview credits- ✓ 5 custom generations
- ✓ Report history
Built around ownership, not autopilot
The candidate stays responsible for every accepted change, every test run, and every explanation.
Patch review is explicit
No silent assistant edits. Every proposed change is inspectable and reversible.
Scores cite evidence
Reports connect feedback to hidden tests, voice answers, and timestamped actions.
Interview pressure feels real
A 30-minute session with visible tests, tradeoffs, and follow-up questions.
Stop practicing like AI is banned.
Practice the new skill: using AI while proving you still own the work.
Start free interview One free interview credit · No card required