HackerRank's AI Interviewer Offers a Glimpse Into the Future of Job Interviews
What happens when AI shifts from helping job candidates to evaluating them? HackerRank, a platform used by companies to assess and hire developers, is offering a glimpse of that future with Chakra, an AI agent that conducts interviews, observes candidates as they work, and evaluates not just their answers but also how they arrived at them.
After roughly six months in beta, HackerRank is making Chakra generally available to its customers on Monday. The company says the AI interviewer has already conducted more than 500,000 interviews during testing. Companies including Snowflake, Snorkel, and Capgemini were among those that tried it, and HackerRank also tested the product internally.
AI in Hiring Is Already Commonplace
AI has been a staple of job interviews for some time, with companies using voice agents and other automated tools to screen candidates and streamline the hiring process. Job seekers, meanwhile, have increasingly gained their own AI tools to help them navigate interviews β sometimes without employers knowing.
Beyond the Right Answer: Measuring Judgment and AI Fluency
With Chakra, HackerRank is betting that AI can change not only how interviews are conducted but also what employers can measure. Beyond whether a candidate arrives at the right answer, the company wants to assess harder-to-capture signals such as critical thinking and judgment, along with what it calls "AI fluency" β how well a candidate frames a problem for AI, judges its output, and steers it toward a solution.
"The previous modality of evaluation was evaluating the output," HackerRank co-founder and CEO Vivek Ravisankar said in an interview. "Now, because of AI, anybody can produce an artifact." The question for employers, he said, becomes whether they can understand the thinking and judgment that went into producing it.
What a Chakra Interview Looks Like
In practice, a Chakra interview is designed to resemble doing the job more than taking a traditional coding test. A candidate receives a task involving a real-world code repository and works through it in a canvas that includes an AI assistant. As the candidate works, Chakra can use the context of what they are doing to ask follow-up questions β such as why they chose one approach over another, or how their solution would change if a new constraint were introduced.
Why It Matters in 2026
As AI-generated code and content become ubiquitous, employers are increasingly struggling to distinguish genuine skill from polished output. Chakra reflects a broader 2026 hiring trend: assessment tools are moving away from static tests and toward evaluating process, reasoning, and collaboration with AI. If it works as intended, this kind of AI interviewer could reshape how companies define and measure technical talent β and raise new questions about fairness, transparency, and what candidates should expect when the interviewer on the other side of the screen isn't human.