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Merge is a 30-minute online code review assessment for engineering hiring. It helps teams evaluate how candidates review pull requests, respond to revisions, and reason about code quality in a realistic workflow.

Merge preview

AI-native code review assessments for engineering hiring

Merge is an AI-native code review assessment platform for engineering hiring. It puts candidates into a realistic pull-request review flow so teams can evaluate how they inspect code, identify issues, and respond to changes in a session that lasts about 30 minutes.

The product is designed to generate hiring-ready signals from work that resembles the job itself. Candidates review a PR, submit comments on bugs, refactors, and security risks, and then see an AI-driven revision process that updates the code so they can review the next state.

Core capabilities

Real PR review loop

Candidates work through a pull request instead of answering abstract quiz questions, which lets evaluators observe how they review code in context.

Custom assessment settings

Teams can adjust difficulty, specialization, and language constraints to fit the role they are hiring for.

AI revision responses

After candidates submit comments, an AI agent addresses PR feedback in real time and opens a fresh revision for follow-up review.

Token use and efficiency tracking

Merge surfaces how efficiently candidates use tokens, along with estimated cost and revision activity.

Reporting and scorecards

The platform produces a scorecard that connects candidate comments to code quality, risk detection, revision judgment, and practical hiring recommendations.

Role-based calibration

Assessments can be tuned for different levels, from intern and new graduate roles through senior and principal engineering positions.

Practical scenarios

  • Hiring engineers who review code well

    Use Merge when you want to assess whether candidates can read a pull request carefully and comment on substantive issues.

  • Calibrating assessments by role level

    Adjust the assessment for junior, mid-level, senior, or staff candidates so the review matches expected seniority.

  • Testing specialization-specific judgment

    Focus the session on frontend, backend, infrastructure, security, or platform engineering work.

  • Comparing candidates with a shared workflow

    Run the same review loop across applicants so the hiring team can compare how they prioritize findings and revise feedback.

  • Evaluating AI-assisted work habits

    Review how candidates use tokens and interact with AI-generated revisions during the assessment.

Pros and Cons

Pros

  • Uses a realistic code review workflow rather than a generic quiz.
  • Supports role calibration through difficulty, specialization, and language constraints.
  • Provides reporting that connects comments to code quality, risk detection, and hiring recommendations.
  • Includes visibility into token use, estimated cost, and revision efficiency.
  • Can surface how candidates reason through changes over multiple review rounds.

Cons

  • The source only describes one assessment format, so broader hiring workflows are not documented here.
  • The site does not provide pricing or implementation details.
  • Effectiveness depends on whether a PR-based review session matches the role being hired.

FAQ

What does Merge assess?

Merge assesses how engineering candidates review pull requests, identify issues, and respond to code revisions during a structured session.

How long is the assessment?

The site describes Merge as a 30-minute online code review assessment.

Can the assessment be adjusted for different roles?

Yes. The product supports difficulty, specialization, and language constraints so teams can tailor assessments to the role.

What kind of output do hiring teams get?

Merge provides reporting and scorecards that summarize candidate reasoning, priorities, risk detection, and hiring recommendations.

Does Merge show how candidates use AI during the session?

Yes. The site says it tracks token use and efficiency, including estimated cost and PR revisions.

Quick Facts

Category
Developer Tool
Product type
AI-native code review assessment platform
Primary users
Engineering hiring teams
Assessment length
30 minutes
Workflow
Review PR → submit comments → AI publishes revision → repeat
Website domain
mergeoa.com