For Hiring Teams

A practical guide to hiring people who can build with AI, spot what went wrong, and take responsibility for the result. Six skills. Better questions. Clearer evidence.

Design practical tasks that reveal planning, prompting, diff review, testing, and ownership of AI-generated changes.

How to review possible unauthorized AI assistance, ask a useful follow-up, and document a decision your hiring team can explain.

Plan a structured AI-led first round with role-related questions, candidate communication, review capacity, and purposeful human follow-ups.

Scope candidate evaluation, information gathering, scheduling, and phone screens with clear completion states and human handoffs.

Use short, submission-specific follow-ups to explore understanding, adaptation, and the limits of a candidate’s solution.

Build question variation around skill coverage, expected effort, and review criteria instead of assuming random selection creates equivalent tests.

Evaluate an assessment integration by its invitations, application records, completion states, result delivery, and recovery paths.

Use skill results, test outcomes, revisions, and explanations to prepare better interviews without overinterpreting telemetry.

Assess implementation, reading, debugging, and code review with a practical task that extends beyond the happy path.

Scope an FDE engagement around representative tasks, calibration, enterprise workflows, and practical acceptance criteria.

Nineteen practical guides for recruiters, talent leaders, and engineering managers. Real hiring questions, illustrative examples, and tools to use with your team.