HackerRank launches Chakra AI agent to interview coders

HackerRank has officially launched Chakra, an artificial intelligence agent designed to conduct technical job interviews and evaluate software developers. Following a six-month beta period during which the tool conducted over 500,000 interviews, the platform is now generally available to customers. Early adopters of the technology during its testing phase included major companies such as Snowflake, Snorkel, and Capgemini, alongside HackerRank's own internal teams.

Unlike traditional coding assessments that focus solely on the final output, Chakra evaluates a candidate's entire problem-solving process. The AI agent observes candidates as they work within a real-world code repository, assessing critical thinking, judgment, and what the company calls AI fluency—which refers to how effectively a candidate prompts and guides an AI assistant. During the session, Chakra can ask contextual follow-up questions to understand why a candidate chose a specific approach or how they would adapt to new constraints.

For hiring managers and recruiters, the tool consolidates what was once a three-step process—comprising a recruiter screen, a take-home test, and a technical interview—into a single session. Additionally, HackerRank reported that suspicious-activity flags dropped by 70% to 80% during Chakra interviews compared to traditional tests. This decline is attributed to candidates having authorized access to AI tools within the assessment, which reduces the incentive to secretly use external aids.

The launch represents a significant shift for the Y Combinator-backed startup, which has amassed over 3,000 business clients, including Amazon, Nvidia, Clay, and Replit, and a community of 30 million developers. While the AI agent scores candidates, human hiring managers still make the final employment decisions. This human oversight remains crucial as automated hiring tools face growing regulatory scrutiny, such as New York City's mandate for independent bias audits on automated employment decision systems.