For hiring teams

Run hiring challenges that show how developers work.

Create realistic software challenges, invite candidates, and review the work behind the submission with evidence-linked Technical Evaluations.

Challenges and candidate invitations are free.

Technical Evaluation for Alex Morgan showing a 3.60 out of 4 score and evidence coverage

How it works

From challenge to decision.

  1. 01Create Challenge
  2. 02Invite Candidates
  3. 03Candidate Builds
  4. 04Capture Evidence
  5. 05AI Technical Evaluation
  6. 06Human Review

Define the work

Define what good work looks like before candidates begin.

Set the technical task, expected deliverables, repository expectations, and review criteria up front.

  1. 01
    Technical requirement

    Anchor the challenge in a concrete software problem.

  2. 02
    Candidate expectations

    Make the expected work and deliverables clear.

  3. 03
    Review criteria

    Decide what the evaluation will consider before the run starts.

Challenge setup showing the technical task contract, candidate plan, review criteria, and approval state

Review the trail

The final code is only part of the story.

Review recorded GitHub activity alongside the submission to understand how the work progressed — without treating activity as a productivity, personality, or seniority score.

Review contextProgression, milestones, and recorded run events.
Alex Morgan activity timeline showing recorded development progression

Inspect the evaluation

A technical evaluation should show its basis.

Inspect criterion judgments, confidence, evidence sufficiency, and evidence-linked reference IDs before your team reaches a decision.

Technical Evaluation criterion showing judgment, confidence, evidence sufficiency, and an evidence-linked reference ID

AI supports the technical review. Your team makes the final decision.

Evidence first

No evidence. No invented certainty.

When candidate-attributable evidence is insufficient, DevMarathon can return no overall score rather than manufacture certainty.

Human review remains final.

Jamie Chen Technical Evaluation showing insufficient evidence for an overall score

Organizer workflow

Move from candidate runs to reviewer action.

Open candidate runs, review development evidence, and inspect the Technical Evaluation in one connected workflow.

Organizer workflow moving from candidate runs to activity evidence and Technical Evaluation

Hiring pricing

Run hiring free. Pay only for AI evaluation.

The hiring workflow is free. Every organization includes 3 AI Technical Evaluations. Additional evaluations are $15 each.

Questions

Before your first challenge.

Do organizers or candidates need GitHub?

Organizers can create and manage a Hiring Challenge without connecting GitHub. Candidates participating in a Hiring Challenge do need to connect GitHub for the challenge workflow.

What does DevMarathon capture and review?

DevMarathon records GitHub activity from the candidate run to provide context alongside the submission. Technical Evaluation uses controlled evidence from the submitted work; it does not independently browse the entire candidate repository.

Does AI make the hiring decision?

No. AI supports the technical review with evidence-linked findings. Your team makes the final hiring decision.

Can teams start free, and how are AI evaluations priced?

Challenge creation and candidate participation are free. Each organization includes 3 AI Technical Evaluations. Additional evaluations are $15 each.

Start with real work

Review the work behind the submission.