Real PR review tasks
Candidates review a realistic pull request and leave comments on correctness bugs, refactors, and vulnerabilities, giving hiring teams evidence from actual review behavior rather than quiz answers.
Merge is a 30-minute AI-native code review assessment for engineering hiring. It helps teams evaluate how candidates review pull requests, respond to revisions, and reason about bugs, refactors, and security risks.
Merge is an AI-native code review assessment platform for engineering hiring. It asks candidates to review a pull request in a realistic codebase, leave comments on issues they notice, and respond to revisions as an AI agent updates the PR in real time.
The product is positioned for teams that want to evaluate how engineers actually review code rather than relying on generic algorithm quizzes. Merge frames the workflow as a review loop that surfaces how candidates reason about bugs, refactors, security risks, and feedback over time.
Candidates review a realistic pull request and leave comments on correctness bugs, refactors, and vulnerabilities, giving hiring teams evidence from actual review behavior rather than quiz answers.
The platform includes an AI agent that addresses candidate comments in real time and publishes a revised PR so reviewers can inspect how the candidate responds to changes.
Assessments can be adjusted by difficulty, specialization, and language surface so the exercise fits the role being hired for.
The site highlights token use and efficiency, showing how candidates spend tokens, the estimated cost of their interaction, and how they revise feedback over the session.
Merge produces a scorecard that connects comments to code quality, risk detection, revision judgment, and hiring recommendations.
Screen candidates for engineering roles by observing how they inspect a pull request, identify bugs, and explain the reasoning behind their comments.
Compare candidates at different seniority levels by adjusting assessment difficulty from intern or new graduate through staff or principal.
Focus the task on a specific discipline such as frontend, backend, infrastructure, security, platform, systems, APIs, or data pipelines.
Review how applicants respond when code changes after their feedback, which can help teams assess judgment and adaptability during iterative review.
Merge is designed to assess candidates by having them review a pull request and comment on issues such as bugs, refactors, and security risks. The site also says its AI agent responds to those comments in real time and opens a revised PR for the candidate to review next.
The homepage describes a complete review loop that includes reading a small realistic codebase, reviewing a PR, submitting comments, and then evaluating the next revision after Merge publishes one. The assessment continues until time expires or the candidate feels the code is ready to approve.
Merge says assessments can be calibrated by difficulty, specialization, and language. The site mentions roles ranging from intern and new graduate to senior, staff, and principal, and focuses on areas such as frontend, backend, infrastructure, security, platform, systems, APIs, and data pipelines.
The site presents Merge as a 30-minute online code review assessment, but it does not publish pricing, setup steps, or integration details on the homepage source provided.
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