Project walkthroughs and live changes
Rehearse architecture, decisions, shortcuts, testing, code navigation, debugging follow-ups, and live-change requests.
AI interview rehearsal for engineers
Practice the interview behind your project.
Add a public repository or supporting documents, then rehearse questions about your architecture, decisions, trade-offs, and ownership. Or practice without project context.
For software, AI/ML, data, platform, and engineering leadership roles.
Repository-grounded questionsScreen-aware walkthroughsAdaptive follow-upsTranscript feedback
Screen-aware project rehearsal
Practice the moment the interviewer says, “Can you show me?”
Share a specific IDE window, navigate the project, and explain what the interviewer is seeing. Live-change rehearsals introduce a debugging request, new constraint, or implementation change while you talk through the reasoning.
1ExplainDescribe the architecture or implementation.
2NavigateFind the relevant file, function, or decision.
3ModifyDiscuss or make a change while explaining why.
retry_worker.pyScreen-aware walkthrough
InterviewerThe provider now requires exponential backoff. Can you show me where you would implement it?
Follow-upBefore changing it, how would you prevent duplicate processing, and what test would verify the behavior?
The conversation after the build
More than another coding test.
Coding is only part of the interview. Practice explaining what you built, why you made each decision, and what you would change.
AI, ML, and data interviews
Practice discussing model choices, retrieval, evaluation, reliability, cost, latency, and where human judgment shaped the work.
System design and technical leadership
Rehearse ownership, scale, failure modes, alternatives, and the impact of your technical decisions.
Durable judgment, not trend memorization
AI moves fast. Show that your judgment keeps up.
Strong AI engineering candidates do more than recognize the latest tools. They explain when to use them, how to evaluate them, where they fail, and what belongs in production.
Model selectionRetrieval & RAGAgent architectureEvaluationsReliabilityObservabilityLatencyCostPrivacyHuman oversight
Show that you did not merely use the latest AI stack. You understand the decisions behind it.
Technical ownership in the AI era
Can you explain the work AI helped you produce?
Practice describing what you accepted, what you verified, what the tools missed, and why you still own the final result.
What did you verify manually?Which failure cases did the agent miss?What would you refactor before production?Why did you accept this implementation?
Built for the interview experience
A code assistant helps you build. RoundJump tests how you explain it.
A coding assistant can inspect a repository, explain an implementation, and generate questions. RoundJump combines your project with the target role and supporting materials, then drives the conversation and follows the reasoning behind your answers.
- Helps you understand or modify code
- Usually responds to your prompts
- Optimizes toward helping you reach an answer
- Focuses primarily on the implementation
- Interviews you about your decisions
- Drives the conversation and changes direction
- Challenges incomplete reasoning
- Practices retrieving answers aloud
- Reviews evidence, structure, and trade-off clarity
- Observes how you navigate a shared project walkthrough
How it works
Bring the context. Practice the follow-ups.
Share context
Add a public GitHub or GitLab repository, or upload a resume, job description, or project document. Select up to five sources for an interview.
Choose the rehearsal
Set the target role and interview focus, then practice in text, voice, or avatar mode.
Explain and show
Answer aloud and optionally share an IDE window while navigating, discussing, or modifying the project.
Review the gaps
Finish with transcript-based feedback on evidence, structure, completeness, and trade-off clarity.
Progressive rehearsal
Start comfortable. Build toward the real interview.
Develop the reasoning
Work in text to identify missing evidence, organize the explanation, and strengthen your answer before saying it aloud.
Text reviewRetrieve it aloud
Respond by voice while the interviewer asks adaptive follow-ups. Practice expressing your reasoning without a prepared script.
Voice conversationMake it more immersive
Add a visible interviewer and practice maintaining focus while explaining technical decisions in an interview-like conversation.
Avatar interviewExplain while you navigate
Share a specific IDE window, locate the relevant code, and progress from explanation to a debugging or live-change request.
Shared-screen walkthroughTranscript-based review
Find the gaps before the interviewer does.
RoundJump reviews what you said and how effectively you structured the explanation, focusing on evidence, completeness, directness, and trade-off clarity.
What you built + why you built it + how convincingly you explained it.Feedback is based on the transcript, not vocal characteristics.Improve your next attempt
EvidenceAdd one measurable result to make the impact concrete.
Explanation structureLead with the requirement and trade-off before implementation details.
Trade-off clarityName the alternatives you considered and why this choice was appropriate.
Walkthrough clarityExplain the requirement before opening the implementation, then show the relevant code.
Requirement → alternatives → decision → relevant code → trade-off → failure handling → test
Sharing is visible, specific, and controllable.
Share a chosen IDE window with a persistent status indicator and clear pause and stop controls. Screen context is processed while sharing is active and follows the session’s retention and deletion controls.
Questions before you share a project
Built for rehearsal, with context you choose.
Why not use a coding assistant?
You can. A carefully prompted coding assistant can reproduce part of the experience. RoundJump is built around interview orchestration: combining your project with the role and supporting materials, driving a spoken conversation, asking adaptive follow-ups, and reviewing whether your explanation included clear evidence, structure, and trade-offs.
What repository access does RoundJump need?
RoundJump currently accepts a public GitHub or GitLab URL, so it does not ask for private-repository permissions. You can also share supporting documents instead of a repository.
Can I share my screen during a project debrief?
Yes. Share a specific IDE window, navigate the project, and respond to explanation, debugging, or change-request follow-ups.
Does RoundJump record my screen?
Screen context is processed while sharing is active. The interface shows a persistent sharing indicator and provides pause and stop controls. Any screen-derived session artifacts follow the same retention and deletion controls as the rehearsal.
Can I practice modifying code live?
Yes. Use a live-change rehearsal to respond to a new requirement, debug an issue, or extend the project while explaining your reasoning and testing approach.
Why practice by voice or with an interviewer?
Knowing the reasoning is different from retrieving and articulating it aloud. Conversation and Interview modes help you practice responding without relying on a prepared script. Feedback remains based on the transcript rather than vocal characteristics.
Your next interview starts here
Be ready to explain it, show it, and change it.
Practice project-grounded interviews, screen-aware walkthroughs, and live-change scenarios before the real interview.
Start my engineering rehearsal →