Online Coding Interview Tool

The tool provides a secure, browser-based framework to administer coding interview sessions. It supports a sequence of problems organized as steps, configurable constraints, and rubric-based scoring that aligns with organizational hiring criteria. Interviewers create a session, attach problem sets, specify accepted languages and environment limits, and invite candidates. Candidate work is isolated in a sandbox with deterministic execution environments. The platform records timestamps, test outcomes, and reviewer notes to ensure objective evaluation across candidates and teams.
At the core, the system runs a fixed or dynamic set of unit tests against each candidate submission. Test results include pass/fail status, error messages, time taken, and resource usage. Submissions are captured with diffs and the system can compare against model solutions for reference.
Workflow and outputs: interviewers review results in a structured rubric and produce a final scorecard. Export options include JSON or PDF reports, which summarize problem-solving approach, test outcomes, and recommendations. The tool supports anonymized evaluation for fairness.
Audience and differentiators: engineering teams of any size seeking consistent, auditable interviews. Unique values include stepwise problem progression, integrated test harness, editable rubrics, and exportable interview reports. This reduces bias, accelerates hiring, and scales to high-volume screening.