Real codebase tasks
Candidates work on a small, real codebase with a planted bug, making the assessment closer to an engineering task than a purely conversational interview.
CmdRound
CmdRound is a recruiter-focused engineering assessment tool for evaluating candidates with Claude Code on real coding tasks, featuring scorecards and chronological replay.
AI-assisted engineering assessments
CmdRound is an engineering assessment tool for recruiters hiring developers who work with AI coding agents. A recruiter selects a task and sends a candidate a link; the candidate then spends 55 minutes using Claude Code to investigate and fix a real problem in a codebase.
The platform evaluates more than whether the final tests pass. It records the candidate's interaction with the agent, including review of proposed edits, decisions to approve or push back, test results, and recovery from failures. Recruiters receive a scorecard and a replay of the round so they can review both the outcome and the process behind it.
Assessment and review features
Timed Claude Code session
The candidate has a fixed 55-minute session with Claude Code and can inspect, approve, or challenge the agent's proposed changes.
Visible and hidden testing
Visible tests run during the round, while a hidden suite and a planted-bug check run at submission to evaluate whether the fix holds up beyond the obvious path.
Structured scorecard
A single scorecard provides an overall score out of 100 plus sentence-length evaluations across four dimensions: verification, work quality, recovery, and agent direction.
Chronological replay
The replay keeps the round's calls, diffs, approvals, pushback, and timing in one chronological view for recruiter review.
Link-based distribution
Recruiters can email individual candidate links or share one open link, with no installation required on the candidate side.
Practical hiring scenarios
Evaluate AI-assisted coding judgment
Send a candidate a task that reveals how they inspect an unfamiliar codebase, test a proposed fix, and decide whether an AI-generated change is safe to approve.
Review process behind the score
Use the replay to examine a borderline result: see where the candidate pushed back, how they responded to failing tests, and whether the final fix addressed the planted bug.
Run low-friction candidate assessments
Share individual links with scheduled candidates or provide an open link for a broader intake, allowing candidates to begin without local setup.
Compare practical agent workflows
Use the scorecard's four dimensions to compare candidates on verification, work quality, recovery, and agent direction rather than relying only on a final code result.
Pros and Cons
Pros
- Uses a real codebase and a planted bug rather than relying only on interview questions.
- Captures how candidates verify, challenge, and direct an AI coding agent, not just the final output.
- Combines an overall score with four plain-language scorecard dimensions.
- Provides a chronological replay of calls, diffs, test runs, and candidate decisions.
- Candidates can start from a link without installing software.
Cons
- The documented workflow is centered on Claude Code; support for other agents and third-party hiring integrations is not specified.
- The supplied pages do not explain team administration, candidate limits beyond the advertised starter pack, or detailed plan differences.
- The assessment format is focused on a 55-minute coding task, so it may not cover every engineering skill or hiring stage.
FAQ
How does a recruiter set up a round?
A recruiter names the company, selects a task, and sends each candidate a unique email link or shares an open link. Candidates sign in and begin without installing software.
What does the candidate do during the assessment?
Each round gives the candidate 55 minutes with Claude Code on a real codebase containing a planted bug. The candidate reviews and approves or challenges the agent's proposed changes while tests run during the session.
What does the recruiter receive after a round?
The scorecard contains an overall score out of 100 and four written assessments covering verification of AI work, durability of the resulting work, recovery when something breaks, and direction of the agent. Candidates do not see their own score.
What is included in the replay?
The replay places the score above a chronological record of the round, including agent calls, approved diffs, and timing such as how long the candidate considered a change.
Which tools and integrations are supported?
The documented assessment uses Claude Code. The supplied pages do not document integrations with other coding agents, ATS platforms, or team administration features.
Quick Facts
- Category
- Developer Tool
- Primary users
- Recruiters hiring engineers
- Assessment agent
- Claude Code
- Session length
- 55 minutes
- Candidate setup
- Link-based; no installation required
- Outputs
- Scorecard and chronological replay
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