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待翻譯:Show HN: Merge – AI-native code review assessments for engineering hiring

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AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:AnnouncementToday, Merge is live on ProductHunt. Please consider upvoting!Upvote Your engineers are reviewing more code than ever before.Merge lets you assess for it. With Merge, candidates review a PR, just like on the…

來源Hacker News AI作者: harshithl1777
待翻譯:Show HN: Merge – AI-native code review assessments for engineering hiring
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AI 服務暫時不可用,以下為來源正文,待恢復後補全翻譯。

AnnouncementToday, Merge is live on ProductHunt. Please consider upvoting!Upvote Your engineers are reviewing more code than ever before.Merge lets you assess for it. With Merge, candidates review a PR, just like on the job. Then, our AI agent addresses PR comments in realtime, simulating a real engineer. See our features Built by engineers at Platform A complete review signal, from invite to hiring decision. Merge turns code reviews into an assessment involving real engineering work to produce hiring-ready signals. Review Loop Candidates inspect real pull requests and leave comments on bugs, refactors, and security risks. Custom Assessments Set the level, specialization, language surface, and specialization constraints for each role. Token Use & Efficiency See how efficiently candidates spend tokens, control cost, and turn PR feedback into revisions. Reporting See how candidates reason, prioritize, and improve feedback over the session. Review Loop See how engineers handle code after the first read. Candidates enter a small, realistic codebase with a pull request that is scoped enough to understand quickly. Candidates read a realistic PR and comment on correctness bugs, refactors, and vulnerabilities. Candidates submit their comments so Merge can evaluate their priorities before generating a response. Merge addresses candidate comments and opens a fresh PR revision so reviewers can evaluate the next state. The loop continues until time expires or candidates feel the code is ready to approve. Custom Assessments Calibrate every assessment to the role you're hiring for. Difficulty Match the bar to interns, new grads, mid-level engineers, or senior staff candidates. InternNew GraduateJuniorMid-levelSeniorStaffPrincipal Specialization Focus the work on frontend, backend, infrastructure, security, or platform engineering. InfrastructureNetworkingCore databaseInfrastructureNetworkingCore database PerformanceFrontendDistributed systemsData PipelinesPerformanceFrontendDistributed systemsData Pipelines SecurityPlatformSystemsAPIsSecurityPlatformSystemsAPIs Languages Restrict to a few languages for depth or allow broad stacks for generalist hiring loops. Reporting A scorecard your hiring team can actually discuss. Every report connects candidate comments to code quality, risk detection, revision judgment, and practical hiring recommendations. Token Use & Efficiency See exactly how efficiently candidates work with AI. Merge is the first assessment platform that shows exactly how efficient a candidate is with token use, estimated cost, and PR revisions. merge Assess the engineering work your team actually values. Merge gives candidates a real review loop and gives your team evidence that is easier to trust than another algorithm quiz. Contact us

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工程師中級

要點

  • AI 服務暫時不可用,系統已先保留來源內容與降級元數據。
  • AnnouncementToday, Merge is live on ProductHunt. Please consider upvoting!Upvote Your engineers are reviewing more code than ever before.Merge lets you assess for it. With Merge,…

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要點與分析由自動化流程生成,可能有誤,請結合原始來源核實。