HackerRank has introduced Chakra, an AI-powered interviewer designed to transform how technical job interviews are conducted and evaluated. After six months in beta testing, Chakra is now available to HackerRank’s clients, having already facilitated over 500,000 interviews with companies like Snowflake, Snorkel, and Capgemini. Unlike traditional coding tests focused solely on whether candidates produce correct answers, Chakra observes candidates as they work through real-world coding tasks, evaluates their thought process, and assesses critical thinking, judgment, and "AI fluency"—the ability to collaborate and steer AI tools effectively.

The Chakra interview format streamlines the traditional multi-step hiring process by combining recruiter screening, take-home assessments, and technical interviews into a single session. Candidates work on a real code repository in a dynamic environment supported by an AI assistant that can ask follow-up questions to understand why candidates chose specific strategies and how they adapt to new constraints. This approach aims to provide a more comprehensive evaluation of a candidate’s skills that reflects actual job performance as opposed to isolated problem-solving.

HackerRank CEO Vivek Ravisankar believes AI’s role in interviews is shifting from merely checking output to understanding the underlying reasoning behind candidates’ work. Although providing candidates access to AI during interviews might seem to encourage cheating, HackerRank reports a significant reduction in suspicious activities compared to traditional assessments. The company suggests that transparent AI assistance reduces incentives to use unauthorized tools secretly, creating a fairer and more insightful hiring process.

While AI can offer consistent and unbiased scoring based on employer-defined criteria, Ravisankar emphasizes that hiring decisions will remain human-led, with AI handling structured evaluations and humans focusing on cultural fit and engagement. The increased use of AI in hiring is drawing regulatory attention, requiring tools like Chakra to comply with bias audits and transparency rules. Despite uncertainties, HackerRank views Chakra as the future of technical hiring, signaling a major shift from the company’s original coding challenge model towards AI-enhanced assessments.