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DeveloperHiring

Use cases for hiring developers by skill

Teams use DeveloperHiring in four main ways. A startup CTO hires a first senior engineer without a recruiter, a scale-up tests before any screening call, a technical recruiter runs 20 roles on one rubric, and an agency vets developers for clients through the API.

Startup plan, 2 new roles a month

How does a startup CTO hire a first senior engineer without a recruiter?

The problem. A CTO at a 12-person startup needs a senior backend engineer. There is no recruiter. Every screening call takes an hour away from building the product, and the last hire looked great on paper and struggled with real work.

How it works here. The CTO pastes the role: senior Python, FastAPI, AWS, remote in Europe. The skill matrix comes back weighted toward APIs and system design. Sourcing pulls in candidates with public Python work, the role page collects applications, and screening runs without any calls.

The result. Candidates who pass screening take a 75 minute API task and an AI interview on their solution. The CTO opens the shortlist, reads five scorecards, and spends time only with the people who already proved they can do the job.

Related guide: how to hire Python developers.

Top 5 shortlist · Senior Python developer

#1 Candidate 7592

Python, FastAPI, AWS · code, interview and integrity done

96

#2 Candidate 6473

Python, FastAPI, AWS · code, interview and integrity done

94

#3 Candidate 3029

Python, FastAPI, AWS · code, interview and integrity done

93

#4 Candidate 2814

Python, FastAPI, AWS · code, interview and integrity done

92

#5 Candidate 2238

Python, FastAPI, AWS · code, interview and integrity done

90

Team plan, 8 new roles a month

How does an engineering manager cut screening calls by testing first?

An engineering manager at a 200-person scale-up runs four open roles. The team does a one-hour technical screen with every candidate the recruiter passes along, and most of those calls end in a no. Engineers lose a day a week to interviews.

Before

  • Recruiter screens resumes by keywords.
  • Engineers run one-hour calls with everyone.
  • Each interviewer asks different questions.
  • Decisions depend on who was in the room.

After

  • Every candidate takes the same coding test.
  • The AI interview covers the first technical round.
  • Engineers meet only the top five.
  • The live coding room is used for final rounds.

What the team uses

  • Custom tasks built from their own codebase style.
  • A shared question bank per role.
  • Interviewer seats with their own scorecards.
  • Scheduling links for the shortlist.
AI technical interview · transcript

AI interviewer

Your rate limiter stores hits in memory. What happens when the service runs on three instances?

Candidate

Each instance would count separately, so a customer could send three times the limit. I would move the counter to a shared store with an expiry.

AI interviewer

Two of your tests failed on the window reset. Walk me through what you would change.

Rubric

Understands own code Scaling trade-offs Test strategy

The manager now reads interview transcripts in ten minutes instead of sitting through an hour, and every candidate is compared on the same rubric. Read more about the AI technical interview and the coding assessment.

Scale plan, 25 new roles a month

How does a technical recruiter run 20 roles with consistent scorecards?

A talent lead owns 20 open engineering roles across backend, mobile and data. Hiring managers each want something different, and it is hard to show them proof of skill for every candidate.

With one skill matrix and rubric per role, every candidate gets the same treatment. Hiring managers see the same scorecard format for every role, so they trust the shortlist. The recruiter spends time on candidate experience and offers instead of chasing feedback.

See role guides for mobile app developers and AI developers.

Roles overview, example workspace
RoleStageShortlist
Senior Go engineerInterview 5 ready
iOS developerAssess 3 of 5
Data engineerScreen Building
Staff React engineerHire 5 ready
Android developerSource Building

Scale plan with the Assessments API

How does a tech recruiting agency vet developers through the API?

A recruiting agency places developers with client companies. Clients want proof that each candidate can code, and the agency wants every recruiter to vet the same way.

The agency sends assessments from its own system through the API. Results come back by webhook, including code score, interview rubric and integrity signals. Each client gets a consistent scorecard, and the agency pays a flat plan instead of per-test credits.

Assessments API · webhook payload
{
  "event": "assessment.completed",
  "candidate_ref": "agency-48213",
  "role": "Senior Java developer",
  "scores": { "code": 88, "interview": 84 },
  "integrity": { "similarity": "low", "ai_code": "low" },
  "scorecard_url": "https://developerhiring.com/app/..."
}

Which plan fits each use case?

Use casePlanWhy
Startup CTO, first engineersStartup2 new roles, 150 candidates and 40 tests a month
Scale-up engineering managerTeamLive coding room, custom tasks, 10 seats
Recruiter with many rolesScale25 new roles, unlimited seats, audit log
Agency on the APIScaleAssessments API, webhooks, ATS export

Prices and every limit are on the pricing page.

Questions about use cases

Yes. That is one of the most common cases. The platform handles sourcing, screening and the first technical round, so founders and CTOs only meet the shortlist.

Yes, on Scale. Agencies use the Assessments API and webhooks to vet candidates for client roles, with a flat plan and no per-test fees.

Yes. The process is the same. How you contract the person is up to you.

Yes. Start on Startup, and upgrade when you need more roles or seats. The price difference is charged right away and the new limits apply at once.

Yes. Banks, retailers and other companies with engineering teams use the same pipeline, often because they lack technical recruiters.

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