1. Screening
  2. Evaluation
  3. Decision
  4. Offer
  5. Assimilation

Evaluation

EX Code

Assess engineering capability through practical work

Evaluate how candidates write, debug and explain software. Use role-relevant tasks to examine engineering judgment, including how they review AI-assisted work.

Code Agent technical assessment illustration
Platform Capabilities

Built for the Agentic Engineering Era

Role-relevant exercises

Choose tasks aligned with the role’s engineering needs.

AI usage monitoring illustration

Coding and debugging

Review implementation choices and problem-solving.

Engineering assessment task illustration

Architecture reasoning

Explore trade-offs and technical constraints.

Technical assessment illustration

AI-assisted work

Assess how candidates verify AI-generated output.

Assessment report example

Artifact review

Keep the submitted work alongside the evaluation criteria.

Code workspace illustration

Technical handoff

Give panelists evidence and targeted follow-up questions.

Engineering work review illustration
The Shift

Inspect the work and the decisions behind it

Technical assessment should reveal how someone approaches the work your team needs done. Tasks, submitted artifacts and explanations provide a stronger review basis than an isolated score.

Technical assessment workflow illustration
Agent Reports

Technical evidence that supports a deeper panel review

Review submitted work, engineering decisions and criteria-based findings before the next technical conversation.

Submitted work

The solution or artifact produced during the exercise.

Engineering decisions

The candidate’s explanation of trade-offs and implementation choices.

Criteria-based evaluation

Findings connected to the responsibilities being assessed.

Panel questions

Specific areas to explore further with a human technical reviewer.

View Report
View Report
FAQs

Frequently asked questions

Can candidates use AI tools?

The assessment policy should state whether AI tools are permitted and how their use will be evaluated before the exercise begins.

Does this replace every algorithm assessment?

No. The task should match the role. Algorithmic skills may matter for some roles; production reasoning, debugging or architecture may matter more for others.

What should a reviewer inspect?

The submitted artifact, the task requirements, relevant reasoning and the evidence supporting the evaluation.

Who makes the technical hiring recommendation?

The assigned reviewers use the assessment evidence within the organization’s hiring process.

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