Assessment design
Hiring full-stack engineers who work with AI.
For senior full-stack roles: define the experience you need and explore judgment, ownership and priorities when candidates work with AI.
Read articleThe ProbeHaus blog
Practical guides to assessing engineers who work with AI.
Assessment design
For senior full-stack roles: define the experience you need and explore judgment, ownership and priorities when candidates work with AI.
Read articleJunior hiring
Start with language and framework fundamentals, a small practical task and how the candidate learns with support.
Read articleBefore you hire
Reflect on the first three months, the work that needs doing and the expectations you set during interviews.
Read articleWho to hire
Look for evidence of learning, ownership and delegation. A familiar name on a CV won’t answer those questions.
Read articleEngineering practice
Type checks, complexity limits, file-size ratchets and drift detection: practical guardrails with code examples.
Read articleInterview questions
Explore a candidate’s contribution, AI judgment and priorities, with specific follow-ups for each question.
Read articleInterview guide
Use a candidate’s submission to explore their decisions, test assumptions and choose useful follow-ups.
Read articlePlanning
Turn your team’s daily work into a focused brief, with an AI planning partner and a prompt to try.
Read articleInterview practice
Rehearse with an AI sparring partner and get feedback on the questions you ask.
Read articleQuestion library
Explore scoping, architecture, AI direction and verification. Adapt the questions to your role.
Read articleWhy ProbeHaus
A candidate pasted the whole brief into Replit. The submission made me rethink what an assessment should reveal.
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