HackerRank Launches Chakra, Interview and Assessment AI

HackerRank opens Chakra to all its clients, a conversational agent that conducts technical interviews and observes candidates' reasoning. The company highlights a decrease in cheating signals and assures that the hiring decision remains human, amid increased regulatory constraints.

Final Decision Remains with Humans and Compliance Constraints

HackerRank presents Chakra as an assessment tool, with the hiring decision still made by people. Vivek Ravisankar specifies that the AI consistently applies the criteria defined by the employer during the structured parts of the interview, while human interviewers focus on the candidate's fit and answer their questions about the company, team, or position. He claims that AI can be less biased than humans if properly configured, as it follows the same framework for everyone, without being influenced by background or education. However, the uniform application of criteria does not guarantee the absence of bias: automated tools can inherit or amplify biases from the data, models, or criteria used, which draws the attention of regulators. In New York, certain automated employment decision tools must undergo independent bias audits, and candidates must be informed before their use. Vivek Ravisankar indicates that compliance with these requirements is part of what HackerRank has had to build, reminding that recruitment is a regulated field.

What Chakra Measures Beyond Correct Answers

Chakra aims to transform technical assessment by going beyond just checking for correct answers. HackerRank wants to observe aspects such as critical thinking and judgment, as well as "AI fluency," meaning the ability to formulate a problem for a model, assess the output produced, and guide it toward a solution. Vivek Ravisankar explains that traditional assessment focused on the final result, but the generalization of AI tools makes this sole criterion insufficient. He now emphasizes the importance of understanding the reasoning and choices that lead to the solution.

Interview Process and Consolidation of Steps

An interview with Chakra begins with a task involving real code submission, to be completed in an environment where an AI assistant is available. While the candidate works, the agent can ask follow-up questions based on the context, for example, about the choice of an approach or adapting to a new constraint. According to Vivek Ravisankar, this organization changes the structure of recruitment: initial filtering, take-home assessment, and technical interview are now combined into a single session conducted by Chakra.

Perceived Cheating and Reported Effects During Beta

Access to an AI assistant during the interview might suggest an increased risk of cheating, but HackerRank claims to have observed the opposite. According to the company, alerts for suspicious activity decreased by 70 to 80% during Chakra interviews compared to traditional assessments, with variations depending on geographic area and candidate experience. Vivek Ravisankar links this decrease to the fact that candidates have less incentive to discreetly use external tools. During the beta phase, which lasted about six months, Chakra conducted over 500,000 interviews, with companies like Snowflake, Snorkel, and Capgemini among the pilots, as well as internal testing. The opening to all clients is announced for Monday.

Company Positioning and Product Shift

Founded during TechCrunch Disrupt in 2012, HackerRank has developed around coding challenges and technical assessments to help companies recruit developers. The platform, backed by Y Combinator, claims over 3,000 professional clients, including Amazon, Nvidia, Clay, and Replit, and a community of over 30 million developers. Its historical product primarily measured the ability to correctly solve coding exercises. Vivek Ravisankar believes that the rise of AI makes this model less relevant for assessing engineering aptitude and compares the current transition to Apple’s shift from the iPod to the iPhone: the old product retains value, but Chakra is now presented as the centerpiece of the offering. Meanwhile, automated tools are already filtering candidates, and applicants are using AI aids themselves, which Chakra aims to address.