HackerRank puts its AI interviewer into general release

HackerRank is making Chakra, an AI interviewer for developer candidates, generally available after about six months in beta. It can watch candidates work with an AI assistant in a real code repository, then ask why they made particular choices. That is a shift from testing only the answer to examining the work behind it, with hiring decisions still left to people.

Watch Desk analysis

What happened

A candidate works through a coding task in a shared canvas with an AI assistant. Chakra can use the work in progress to ask follow-up questions, such as why a particular approach was chosen or how it would change under a new constraint. HackerRank says the system scores candidates, but does not make the final hiring decision.

Chief executive Vivek Ravisankar told TechCrunch that Chakra combines a recruiter screen, a take-home assessment and a follow-up interview with an engineer into one session. HackerRank says Chakra conducted more than 500,000 interviews during beta, with companies including Snowflake, Snorkel and Capgemini trying it.

Ravisankar also told TechCrunch that suspicious-activity flags were 70% to 80% lower in Chakra interviews than in comparable HackerRank assessments. That is the company’s reported comparison, not an independent assessment. He argues that letting candidates use AI may reduce the incentive to secretly turn to outside tools for answers.

Why it matters

If AI can help produce the code, employers need to decide what they are actually assessing: the finished work, a candidate’s judgement, or their ability to work effectively with AI. Chakra makes that question part of the interview itself, while gathering observations that could feed into a score.

A consistent rubric may sound fairer than an interviewer’s snap judgement, but consistency alone does not establish that a system is unbiased. HackerRank says people retain the final decision; the weight given to the AI-generated score and observations will matter just as much as that line on the org chart.

Our read

This is a consequential change to how software candidates may be evaluated, not simply a chatbot bolted onto a coding test. The practical thing to ask is what Chakra scores, how employers can inspect or challenge that score, and whether candidates get a meaningful account of how they were assessed. “A human makes the final call” is a start, not a full explanation.

What to watch

• How employers define and validate the criteria used to score candidates.
• Whether candidates can review or challenge Chakra’s assessment.
• How the system performs across roles and candidate groups, beyond HackerRank’s reported beta comparison.

Discussion spark: Should employers be allowed to use AI to score candidates if a person makes the final hiring decision, or should candidates be able to challenge the AI assessment before it counts?

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.