An AI Interviewer That Watches the Code, Not Just the Output
A coding workspace that lets an AI interviewer watch, understand and evaluate a candidate's code as they write and run it — not just judge the final answer.
Automated assessments judge the output — nobody sees the approach
Technical interviews are hard to run consistently at scale: each needs a trained interviewer's time, quality varies by person, and scheduling limits how many candidates can be assessed. Automated assessments help with volume but are one-directional — only the final output is judged, nobody sees the approach, and an AI that cannot see the code can only ask generic questions.
Want an AI Interviewer That Watches Your Candidates' Code?
We'll scope a pilot around your exact technical interview volume and stack — real-time code awareness and live execution — with clear success metrics before any production commitment.
A browser-based coding workspace, built from scratch
Workspace lifecycle
Opens and closes coding workspaces per interview session, so each candidate gets a clean, isolated environment.
Real-time code awareness
The interviewer continuously sees the code as it changes, follows the approach, spots where the candidate is stuck and asks relevant follow-ups.
Code execution
Compiler APIs let candidates compile and run code in the workspace; results are visible to both candidate and interviewer.
A typical interview
- 1Candidate joins and a workspace opens
- 2Interviewer presents a problem
- 3Candidate writes code while the interviewer follows every change
- 4Candidate compiles and runs it, sees output
- 5Interviewer asks follow-ups based on live code and results
- 6Workspace closes and the session is available for the hiring team to review
What users get
Candidates get a realistic editor with instant run feedback and an interviewer that responds to their actual work. Recruiters get more interviews without engineer time and a consistent process. Hiring teams get evidence of how a candidate solved the problem.
Trust
- Isolated sessions for every candidate
- Real execution results from compilers, not the model's guess
- Sessions reviewable after the interview
- The AI supports the interview — hiring decisions stay with people
Status: coding workspace with open/close functionality, real-time code awareness and compiler API integration are done. Languages supported, which compiler service, editor technology, usage numbers and next steps are still to confirm.
An engineering team that ships real-time systems, not slide decks
AWS Advanced Tier Partner
Certified cloud and AI delivery, so your interview workspace runs on infrastructure built to AWS Well-Architected standards from day one.
Pilot-first engagement
We scope, build and validate against real interview sessions before you commit to a production rollout.
Isolated sessions per candidate
Each candidate gets a clean, isolated workspace, so results are never cross-contaminated between interviews.
Real execution, not model guesses
Compiler APIs produce real run results visible to both candidate and interviewer, with sessions reviewable after the interview.
Trusted by forward-thinking teams
AWS-Certified Experts Delivering Cloud Excellence.
More HR Tech AI Solutions
Want an AI Interviewer That
Sees the Code, Not Just the Score?
Tell us about your technical interview volume — we'll help you scope an AI interviewer pilot with real-time code awareness and live execution.