Conversation, not prompts
Speak naturally and receive contextual follow-up questions instead of stepping through a fixed questionnaire.
AI frontend interviewer
A frontend interviewer that listens, follows up, and watches the work.
Practice with an AI frontend interviewer that adapts questions to your level, conversation, code, and technical decisions.
Make the important signals observable.
Code-aware discussion
The interviewer can use your current workspace, checks, and recent changes as context for the conversation.
Calibrated boundaries
Interview Mode evaluates the evidence without teaching or replacing your answer during the session.
A focused path from setup to evidence.
- 01
Set the role context
Choose the target level, focus, technologies, language, and interviewer style.
- 02
Start the live session
The interviewer opens the conversation and progresses through a controlled interview structure.
- 03
Inspect the evidence
See which answers and actions supported each measured signal in the final report.
Why this format
Designed for interview behavior
The interviewer is instructed to stay inside the selected frontend scope, probe incomplete reasoning, and distinguish a confident explanation from demonstrated evidence. Teaching controls are reserved for Course and Practice Coach Mode.
What to expect
Does the AI give me the answer during an interview?+
No. Interview Mode asks questions and evaluates evidence. Guided teaching is available separately in Practice and Courses.
Can it comment on the code I am writing?+
It can receive current workspace context and use it when you ask for feedback or when a relevant follow-up is needed.
Can I resume a session?+
Active interviews preserve their current stage, transcript, workspace, checks, and elapsed time.
Ready when you are
Start a mock interview