HackerRank has introduced Chakra, an AI interviewing tool that goes beyond assessing coding outputs by analyzing candidates’ critical thinking and interaction with AI during coding tasks. After testing with over 500,000 interviews, Chakra is now available to HackerRank’s customers.
- Chakra completed 500,000+ interviews during beta testing
- AI interviewer assesses problem-solving process and judgment
- Cheating incidents dropped by up to 80% in Chakra interviews
What happened
HackerRank has launched Chakra, a new AI-driven interviewing platform designed to conduct and evaluate coding interviews in a more comprehensive way. Unlike traditional assessments that focus primarily on final results, Chakra provides candidates with coding tasks set in real-world contexts while actively interacting with them through an AI assistant during the session. It observes how candidates approach problems, the choices they make, and how they leverage AI tools to reach solutions.
After six months in beta, during which more than 500,000 interviews were completed, HackerRank is making Chakra available to its enterprise clients. Companies such as Snowflake, Snorkel, and Capgemini participated in the testing phase. The AI interviewer combines multiple interview stages—normally a recruiter screen, take-home project, and technical interview—into a single, interactive session aimed at replicating actual work conditions.
Why it matters
Chakra’s approach signals a major shift in developer recruitment by measuring not only coding accuracy but also deeper cognitive skills like critical thinking, judgment, and the ability to work effectively with AI. As AI-generated outputs become commonplace, HackerRank argues that understanding the candidate’s problem-solving journey is crucial to identifying true engineering talent.
Moreover, giving candidates access to AI tools during interviews has lowered concerns about cheating. HackerRank reports that suspicious activity flags declined by 70% to 80% compared to traditional technical assessments, suggesting that transparency in AI use reduces the incentive to cheat with unauthorized external help. This insight could influence broader adoption of AI-assisted hiring methods.
What to watch next
Future adoption of Chakra and similar AI interviewing platforms will likely raise important questions around fairness, transparency, and potential biases in automated evaluation. Monitoring how organizations balance AI assessments with human judgment will be key to understanding the technology’s long-term impact on hiring.
Additionally, as HackerRank positions Chakra as its strategic flagship product, the startup’s ability to adapt and improve the AI’s evaluation criteria to handle a wide range of programming scenarios and candidate behaviors will determine its success. Market response from both candidates and employers will provide early indicators of AI’s evolving role in recruitment.