Merge

Merge is a 30-minute online code review assessment that helps engineering teams evaluate how candidates review real pull requests. It is designed for hiring engineers who can assess code quality, risks, and revisions in a realistic workflow.

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AI-native code review assessments for engineering hiring

Merge is a 30-minute online assessment that asks candidates to review realistic pull requests in a small codebase. It is designed to help engineering teams evaluate whether candidates can review code the way they would on the job.

The workflow includes candidate comments, an AI-driven response to those comments, and repeated review rounds until the session ends. Merge turns that process into hiring signals around bug finding, refactoring judgment, security awareness, and practical revision handling.

Core capabilities

Realistic PR review loop

Candidates inspect a scoped pull request, leave comments on issues they notice, and then review updated code as the assessment continues.

AI revision response

Merge’s AI agent addresses PR comments in real time and creates a fresh revision for the next review pass.

Custom assessment calibration

Teams can set difficulty, specialization, language surface, and specialization constraints for each role.

Role-specific focus areas

Assessments can be tailored to frontend, backend, infrastructure, security, or platform engineering work.

Structured reporting

The output connects candidate comments to code quality, risk detection, revision judgment, and hiring recommendations.

Token and efficiency visibility

Merge shows how efficiently candidates use tokens, along with estimated cost and the number of PR revisions during the session.

Where it fits

Evaluating code review skill in interviews
Use Merge when you want to see how candidates read code, identify bugs or vulnerabilities, and justify their comments in a realistic setting.
Adapting assessments to role level
Choose a difficulty level that matches the candidate’s seniority, from intern and new graduate through principal.
Running specialty-focused hiring loops
Narrow the assessment to the engineering area that matters most, such as security, infrastructure, platform, or frontend work.
Comparing candidates with a common scorecard
Use the reporting output to discuss how different candidates prioritize issues and respond to updated code over the session.
Observing AI-assisted work habits
Review token use, estimated cost, and revision behavior when hiring teams want to understand how candidates work with AI during coding tasks.

Pros and Cons

Pros

Uses a realistic pull request workflow rather than a generic quiz.
Lets teams calibrate difficulty, specialization, and language constraints.
Provides a scorecard and report tied to practical review behavior.
Includes visibility into token use, estimated cost, and revision patterns.
Supports repeated review cycles that mirror the job task more closely than a one-shot exercise.

Cons

The page does not provide pricing or plan details.
Public information on the site does not fully explain the underlying scoring model.
The product is specialized for code review assessment rather than broad technical interviewing.

FAQ

What is Merge used for?

Merge is used to assess engineering candidates on code review tasks, including identifying bugs, refactors, and security risks in a pull request workflow.

How does the assessment work?

Candidates enter a small codebase, review a PR, submit comments, and then review AI-generated revisions until the session ends or they are satisfied.

Can the assessment be tailored to a role?

Yes. The site says teams can adjust difficulty, specialization, language surface, and specialization constraints for the role they are hiring for.

What does the reporting include?

The reporting connects candidate comments to code quality, risk detection, revision judgment, and practical hiring recommendations.

Does Merge show AI usage during the assessment?

Yes. The page says it shows token use, estimated cost, and PR revisions so teams can understand how efficiently a candidate works with AI.

Quick Facts

Category: Developer Tool
Product: AI-native code review assessment platform
Primary users: Engineering teams hiring engineers
Assessment length: 30 minutes
Workflow: Review PRs, submit comments, receive AI-driven revisions
Domain: mergeoa.com