AI
HackerRank's AI Agent Reshapes Developer Interviews with Real-Time Feedback
The coding-assessment platform launches Chakra, an AI interviewer that evaluates candidates' problem-solving process alongside their answers—replacing a traditional three-stage hiring funnel with a single conversational assessment.
TechCrunch — AI
HackerRank, widely used by tech companies to vet engineering talent, is moving beyond simple pass-fail coding tests. The platform is now releasing Chakra, an AI agent that conducts interviews by working alongside candidates in real-time, asking probing follow-up questions, and measuring not just whether they reach correct answers but how they reason through problems.
After half a year in testing, during which it completed more than 500,000 interviews across companies like Snowflake and Capgemini, Chakra becomes generally available this week. The shift signals a deeper reimagining of what technical hiring can measure in an era where candidates routinely have access to AI tools.
Rethinking What Gets Evaluated#
Traditionally, hiring relied on discrete stages: a recruiter screen, a take-home coding challenge, and a follow-up technical discussion. Chakra collapses this into a single session. Rather than isolating candidates from assistance, the AI agent sits alongside them within a code editor, responding to questions as they work through real production-like repositories.
The platform argues that this transparency actually reduces cheating. According to co-founder and CEO Vivek Ravisankar, suspicious-activity flags dropped 70–80% in Chakra assessments compared to conventional HackerRank tests, since candidates no longer need to secretly import hidden tools when they have sanctioned AI access.
More fundamentally, HackerRank sees AI enabling evaluation of skills that traditional tests cannot capture easily:
- Problem framing: how candidates articulate technical challenges to an AI assistant
- Critical thinking: reasoning through trade-offs and constraints
- "AI fluency": the ability to judge AI output and steer it toward workable solutions
"The previous modality of evaluation was evaluating the output," Ravisankar explained. "Now, because of AI, anybody can produce an artifact." The question shifts to understanding the judgment and thought process behind it.
From Products to Hiring Philosophy#
HackerRank launched in 2012 around coding puzzles, building a business that now serves over 3,000 companies and 30 million developers worldwide. The move to Chakra represents a wager that the traditional assessment model—which focused on correctness—has become obsolete. Ravisankar compared the shift internally to Apple's pivot from the iPod to the iPhone: the old business still works, but the market is moving elsewhere.

