HackerRank opens Chakra AI interviewer to customers after roughly six months in beta

HackerRank is making Chakra, its AI interviewer for technical roles, generally available to customers on October 5 after roughly six months in beta, TechCrunch reports. The interview puts a candidate in a development canvas with a code repository and an AI assistant. Chakra watches the work, asks follow-up questions and produces an evaluation for the hiring team. The shift for candidates is that the path to an answer becomes part of the assessment.

The big change

• What changed: HackerRank has moved Chakra from a roughly six-month beta to general availability for its customers, according to TechCrunch's October 5 report.
• Why it matters: A hiring team can review the candidate's work and conversation alongside competency scores, giving it more to examine than a finished code submission.
• What remains open: HackerRank's interview counts, candidate ratings and fairness claims are company statements. The available sources do not establish that Chakra's scores predict job performance or work equally well across candidate groups.

The interview follows the work

In HackerRank's description of Chakra, employers can turn a job description into an interview with custom sections, questions and scoring rubrics. A candidate works on a task in a live canvas resembling a development environment. The company's example asks an engineer to inspect a codebase, plan fixes, make changes and validate the result. TechCrunch reports that the candidate has an AI assistant in the canvas and that Chakra can ask why they chose an approach or how they would adapt it to a new constraint.

HackerRank says Chakra scores what candidates say and do during the hands-on portion, then gives employers competency scores, a summary of strengths and gaps, and reasons tied to the transcript and work. That report gives a hiring manager material to check when a score seems surprising. It does not, by itself, tell us whether the rubric measures future job performance.

HackerRank also markets suspicious-behavior flags for unauthorized outside help. The product page distinguishes such behavior from permitted AI use during the interview. TechCrunch reports the company's claim that these flags were 70% to 80% lower in Chakra interviews than in comparable traditional assessments; the comparison varied by geography and seniority, and the underlying data were not provided in the report. A lower flag rate alone cannot establish how often misconduct occurred.

What employers can inspect

HackerRank's AI-Assisted Interviews help page describes live visibility into candidate prompts and assistant responses, a shared editor, a view of project changes and a post-interview chat transcript. These details help explain the broader observation model HackerRank has built for interviews. The page explicitly applies to its legacy Interview experience, however. It is not a Chakra feature specification, and teams should confirm which views their Chakra account actually provides.

For Chakra itself, the product page promises score explanations backed by the candidate's transcript and work. TechCrunch describes a detailed report for hiring managers. The company also says a human remains responsible for the hiring outcome; CEO Vivek Ravisankar told TechCrunch that Chakra scores candidates and leaves the final decision to people. Human review matters most when an AI-generated score is weakly supported or conflicts with the underlying work.

Adoption is different from validation

HackerRank says more than 500,000 candidates have completed Chakra interviews and gives the experience an average candidate rating above 4.8 out of 5. TechCrunch says Snowflake, Snorkel and Capgemini tried it during the beta. Those figures indicate substantial use according to the company, but the sources do not provide the rating method, response rate or independent evidence that the scores are fair or predict later performance.

HackerRank says it compares AI scoring with human experts and performs bias analyses. The public product page does not publish the underlying results or methods needed to assess those claims. A buyer could ask for the relevant validation and audit reports, the exact rubric used for its roles, and a way to review score explanations against the candidate record. Candidates have a direct stake in knowing what is recorded and how it is used.

The Chakra page offers a free-trial link, a demo booking and a way to request a sample interview. It does not disclose Chakra-specific pricing or which customer plans include access. BIG CHANGE reviewed documentation and TechCrunch's reporting; we did not conduct a Chakra interview or inspect an employer account.