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Who is this for? Users with the Organisation Administrator and Recruiter roles.
AI-Assisted Coding is an add-on to the Take-Home Assessment round — it’s sometimes called “vibe coding” informally, if you’ve heard that term. Instead of candidates working entirely on their own, they’re given an AI coding assistant, and the AI evaluates how they worked with it, not just the code they ended up with.

How Recruiters Run AI Coding Interviews | Hello Recruiter

Curious what the setup looks like from the candidate’s side? The candidate guide has its own walkthrough video and the full setup instructions.

Enabling It

You’ll see an Enable vibe coding toggle on the take-home round settings (see Adding a Take-Home Round). Turning this on means:
  • The candidate is given a provided AI coding assistant, instead of working entirely on their own
  • Their AI conversation is recorded alongside their submitted files
  • You get insight into how they used AI to solve the problem, not just the code they ended up with
  • Each candidate gets an AI usage budget ($10, shown on the switch). When it runs out, the assistant stops, but they can keep working and submit as usual
  • If you extend a candidate’s deadline, their AI access is extended to the new deadline too
  • Under Allowed harnesses, choose which coding assistants candidates may use: Kimchi and OpenCode
Enable vibe coding switch with Allowed harnesses Kimchi and OpenCode

Enable AI-Assisted Coding toggle on the round settings

When to use it. AI-assisted coding is best for technical/engineering roles, where a candidate’s real-world workflow with AI tools is part of the job. It’s not intended for non-technical roles.

Choosing Which Coding Agents Candidates Can Use

“Harness” is our word for the coding agent a candidate works in. Under Allowed harnesses, check the ones you’ll accept:
  • Both checked (the default) means candidates choose.
  • One checked means candidates get that agent only. At least one agent always stays allowed.

How It Changes the Rubric

When this mode is on, the AI’s auto-generated rubric (see Shaping the Evaluation Rubric) adds a category covering how the candidate worked with the assistant, alongside your job’s usual criteria:
Take-home evaluation rubric categories including Working with AI

Example rubric for an AI-assisted take-home, including a "Working with AI" category

What the Candidate Sets Up

Candidates choose between an automatic setup (one command installs the assistant, their AI credential, and the problem statement) or a manual setup if they’d rather not run a script — both are covered in detail in the candidate guide. You don’t need to walk them through it; their assignment page includes the full walkthrough and the video above. What automatic setup does on the candidate’s computer, in case they ask:
  • Their own tools are left alone. The coding agent is installed separately, so a copy the candidate already uses isn’t replaced.
  • Their own settings are saved and put back. If they already use OpenCode or Kimchi, setup asks before swapping in the assessment’s settings, and offers to put theirs back when they submit.
  • The AI key works only in the provided agent.
  • The brief unlocks after setup. The candidate sees the full brief once their workspace is set up.

Timed AI-Assisted Rounds

With Timed assessment also on, setup changes in a few ways:
  • Installing takes none of the candidate’s time. Setup installs everything first, and the timer starts only when the candidate says they’re ready.
  • A countdown inside the agent. With the automatic setup, OpenCode and Kimchi show the candidate the time left.
  • AI access stops at time-up. The assistant stops answering when the timer runs out, and the candidate has 5 more minutes to submit. Reopening their submission from the Interview Hub gives back uploading only, never AI access.

Reviewing an AI-Assisted Submission

Once a candidate submits, open their profile, go to the Evaluation tab, choose the take-home round from the round menu, and switch to Interview. Alongside the problem statement and submitted files, you’ll see a Prompting Session — a transcript of the candidate’s conversation with the AI assistant, with a timeline of the session.
Take-home results with numbered labels: 1 checks, score, risk and AI usage, 2 submitted files, 3 prompting session

Assessment Analysis, showing submission files and the AI prompting session side by side

Understanding the Results

For AI-assisted submissions, the AI evaluates the candidate across two things:
  1. Their code — same as a standard take-home: does it solve the problem, does it meet the requirements, is it well-built
  2. How they worked with AI — shown alongside the candidate’s other skill proficiencies on the Overview tab: how well they directed the assistant and checked its work
You’ll also see the same requirement match, risks and concerns, and skill proficiencies sections shared by every interview round type.
Risk signals raised during an AI-assisted take-home, such as Mismatched AI Client, don’t reject a candidate automatically — review the evidence and use your judgment, the same as any other round. See Risk Signals.

Take-Home Assessment

Evaluation Criteria

Candidate Guide