Sensitivity
Catches real defects
Did the candidate identify seeded problems that were actually present?
AI-era technical hiring
Why CodeArena
See whether an engineer knows what AI output to trust.
Generating code is cheap. Justified confidence is scarce. CodeArena combines executable work, seeded correctness checks, candidate reasoning, and human review so hiring teams can inspect how a candidate builds and verifies.
Known-answer evidence
Executable checks and seeded defects
Confidence through action
Trust or Challenge with a fixed budget
Human decision record
Evidence and follow-up stay reviewable
The scarce skill
Confidence becomes an action, not a self-rating.
Candidates decide whether to trust or challenge an AI-generated implementation. When they challenge it, a scarce verification budget makes diffuse flagging visible and costly while showing where they see the most risk.
Illustrative candidate interaction
Decide first. Allocate confidence through action.
ai-patch/cache.jsKnown truth hidden
1async function getUser(id) {
2 const cached = cache.get(id);
3 if (cached) return cached;
4
5 const user = await db.users.find(id);
6 cache.set(id, user);
7 return user;
8}
Allocate a fixed 10-point decision budget
Assign suspicion to flagged lines. Unallocated points record trust in the output.
2 points remain as trust
The submitted record derives an output-correct estimate of 20% from that remainder.
This demonstrates the shipped decision-budget interaction. It does not represent a final hiring score or the future AI-baseline metric.
One reviewable record
The candidate experience starts before the timer and continues after submission.
The workflow is designed to reduce interface surprise, preserve the reasoning behind each decision, and give interviewers a precise next question instead of restarting the interview from zero.
01
Rehearse before the timer
For AI Critique screens with rehearsal enabled, candidates can practice Trust or Challenge before assessed work begins.
02
Build and verify
A configured screen can combine executable work with seeded AI-output checks, so a polished final answer is not the only evidence.
03
Review the record
Hiring teams inspect tests, decisions, suspicion allocations, reasoning, and available integrity context before sharing an outcome.
04
Probe the uncertainty
Where evidence is available, the report can turn missed defects and uncertain calls into prompts for live validation.
Discernment evidence
A narrow signal with honest boundaries.
Discernment measures judgment about correctness under uncertainty. It does not pretend to replace the rest of an interview loop.
- Seeded defects and executable checks provide known-answer evidence.
- Missing signal stays missing; the scorecard does not invent unmeasured axes.
- AI-assisted summaries support review. A person makes the hiring decision.
- No face, voice, emotion, or personality scoring.
Specificity
Avoids false alarms
Did they leave correct code alone instead of challenging everything?
Confidence evidence
Expresses uncertainty
Where captured, the fixed decision budget records what the candidate trusted and where they concentrated suspicion.
See the artifact
Inspect the evidence before accepting the claim.
The sample report shows how task results, AI Critique findings, integrity context, candidate-safe feedback, and live follow-up fit together.
Buyer questions
Use comparable signal early. Use company context where it adds depth.
CodeArena is not a claim that one assessment should answer every hiring question. It is a reviewable evidence layer for the part of engineering work AI made harder to judge.
Why not generate every screen from our repository?
Repository work is useful for finalist depth. Earlier in the funnel, bounded tasks with seeded truth make the evidence easier to compare and reduce the amount of company context candidates must absorb before they can show judgment.
Can candidates use AI?
Yes when the assessment is configured for AI use. CodeArena measures what happens after generation: whether the candidate challenges weak output, verifies important claims, and can explain what deserves trust.
Is Discernment a final hiring verdict?
No. It is one structured evidence layer for technical judgment. Coding, system thinking, communication, role context, and human review still matter.
What does the hiring team receive?
A reviewable record containing the available task results, candidate decisions and reasoning, seeded-defect outcomes, reviewer notes, and focused follow-up prompts. Replay and integrations depend on the selected workflow and plan.
Bring one open role. Leave with a concrete screen and review plan.
The 15-minute walkthrough maps the role, candidate path, evidence packet, and focused live validation prompts your team would use.