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AI-native engineering interviews
Evaluate how engineers build with AI.
Candidates build real apps in a timed AI workspace. InterviewBot scores the product, process, code, prompts, and judgment.
AI-native
End-to-end apps
Structured scorecards
Live assessment
Build a Customer Feedback App
90 minutes. Clarify, build, test, submit.
Requirement refinement8.7
Debugging8.1
Testing7.8
Bot feedback
Strong AI collaboration. Caught a generated bug and kept the solution simple.
Why it matters
AI changed engineering. Interviews should too.
InterviewBot does not ban AI. It measures whether candidates can use it to ship quality software.
How it works
Build, submit, get scored.
Receive a build task
An AI assistant gives them software to create.
Ask clarifying questions
They clarify scope, requirements, and missing details.
Build and test
They prompt the AI in a web-based editor to build and test the app.
Get scored
The AI agent scores how they used AI to solve the task.
For candidates
Practice. Improve. Prove it.
- Practice realistic AI-native build tasks
- Improve prompting, debugging, testing, and design
- Publish verified results when ready
For hiring teams
Screen for real AI-era ability.
- Use role-specific software tasks
- Review apps, code, prompts, and decisions
- Compare candidates with consistent scorecards
Rubric
What we measure
Prompt Quality
Clear context, constraints, and direction.
Requirement Refinement
Good questions, assumptions, and scope control.
Debugging
Finds issues and improves through iteration.
Engineering Taste
Simplicity, readability, UX, and tradeoffs.
System Design
Architecture, APIs, data flow, and reliability.
Testing
Validates behavior, edge cases, and failures.
Responsible AI Use
Reviews AI output for risk and correctness.
Scorecard
Clear signal. Useful feedback.
Each assessment produces structured scores backed by the candidate’s app, code, prompts, tests, and decisions.
Replayable process
Consistent rubric
Actionable feedback
Overall score
8.3/10
Strong signal
Prompt Quality8.8
Requirement Refinement8.4
Debugging8.1
Engineering Taste8.6
System Design7.9
Testing7.8
Responsible AI Use8.5
Used AI well, caught a generated bug, validated edge cases, and explained tradeoffs.
Real tasks
End-to-end builds, not puzzles.
AI-native
AI is part of the workflow.
Evidence-based
Score the work and the process.
Get started
AI is allowed. Judgment is required.
Practice better interviews or screen candidates with stronger signal.