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HackerRank’s AI interviewer offers a glimpse into what job interviews could become

TechCrunch Jagmeet Singh

HackerRank just launched an AI interviewer that runs coding interviews and scores how candidates think. It’s betting employers want judgment signals, not just the right answer.

Based on reporting by TechCrunch, Jagmeet Singh — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

HackerRank is pushing its hiring software into a more awkward job: interviewer. The company is making Chakra generally available on Monday after about six months in beta, turning a tool once used to test developers into one that now questions them, watches them work, and grades the process as well as the result.

That is the real shift here. HackerRank says Chakra has already handled more than 500,000 interviews during testing, including trials at Snowflake, Snorkel, and Capgemini, alongside internal use. The pitch is that employers need more than a correct solution now that AI can help produce one. They want to see critical thinking, judgment, and what HackerRank calls AI fluency: how someone frames a problem for AI, checks its output, and pushes it toward a useful answer.

The interview itself is built to feel closer to actual work than a coding quiz. Candidates get a task tied to a real-world code repository and work inside a canvas that includes an AI assistant. Chakra can then ask follow-up questions based on what it sees, probing why a candidate picked one route over another or how they would respond if a new constraint appeared.

Ravisankar says that changes the shape of hiring, not just the tools inside it. What used to be a recruiter screen, a take-home assignment, and a follow-up engineer interview can now be folded into one Chakra session. HackerRank is also making a blunt argument that using AI in the room may reduce cheating rather than invite it. The company says suspicious-activity flags were 70% to 80% lower in Chakra interviews than in comparable traditional assessments, though that varied by geography and seniority.

The bigger bet is that HackerRank’s old model is becoming too narrow. The company, which launched at TechCrunch Disrupt in 2012 and now counts more than 3,000 business customers and over 30 million developers in its community, built its reputation on coding challenges. Chakra asks buyers to trust something broader, and messier. It scores candidates, but humans still make the final hiring call. For a regulated area like employment, that human escape hatch is doing a lot of work.

My take — AI-written commentary, not fact-checked reporting

This is the sort of AI product that sounds modern right up until it meets employment law. Letting software score candidates can be useful; pretending that makes it neutral is classic Silicon Valley optimism with a spreadsheet attached. The real test is whether companies use Chakra to sharpen hiring or just to automate their own laziness with better branding.

Read more about this at: TechCrunch

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