This is the artifact a hiring team inspects after an async CodeArena screen: executable results, AI-era judgment, replay context, integrity signals, candidate-safe shareback, and a human next step.
CodeArena does not ask reviewers to trust a single score. Each signal links back to the work, the failure mode, and the reviewer action.
Deterministic results
The candidate solved the core task and exposed the failing edge cases that should drive follow-up.
Planted flaw review
The candidate caught three of four planted issues in generated code and explained the risk clearly.
AI-era workflow
Prompts asked for constraints, tests, and failure modes instead of asking the model to write code blindly.
Reviewable events
The report shows session context without turning surveillance into an automatic hiring decision.
After human review, teams can share a private candidate-safe results link while keeping sensitive rubric evidence inside the hiring workspace.
Private results link
Avery gets a concise summary of what went well, what to improve, and how to practice the same skill. The hiring team keeps internal review context private.
Read instructions and opened starter tests.
Merged arrays correctly for sorted positive inputs.
Flagged race condition and missing null guard.
Duplicate key eviction and empty fallback response remained.
Added time complexity and named the unresolved risk.
Advance the candidate to a focused live validation session, not a generic retread of the async screen.
Decision owner
Human reviewer
Score use
Evidence summary
Risk flag
Boundary case
Bring one open role to a demo and we will show the async screen, evidence packet, candidate-safe shareback, and live validation path your team would use.