HackerRank Makes Chakra AI Interviewer Generally Available

HackerRank has made Chakra, its AI agent for developer interviews, generally available after roughly six months in beta. The company says Chakra conducted more than 500,000 interviews during testing, with Snowflake, Snorkel and Capgemini among the customers that tried the product. HackerRank also tested the system internally.

Chakra is intended to assess more than whether a developer reaches the correct answer. HackerRank says it evaluates how candidates work through a task, including critical thinking, judgment and what it calls AI fluency: the ability to frame a problem for AI, assess its output and steer it toward a solution.

An interview built around work in context

In a Chakra session, a candidate receives a task involving a real-world code repository and works in a canvas with an AI assistant. As the work progresses, the agent can use that context to ask follow-up questions, including why a particular approach was selected or how the solution would change under a new constraint.

Vivek Ravisankar, HackerRank's co-founder and chief executive, said AI changes what employers can infer from a finished artifact. If more candidates can use AI to produce an output, he argued, hiring teams need to understand the reasoning and judgment behind it.

Ravisankar said Chakra can combine steps that had commonly been separated: a recruiter screen, a take-home assessment and a follow-up conversation with an engineer. The company positions the format as closer to doing the job than completing a conventional coding test.

Open AI use changes assessment controls

Allowing candidates to use AI may appear to create an easier route to cheating. HackerRank reports the reverse result in its testing: suspicious-activity flags were 70% to 80% lower in Chakra interviews than in comparable traditional HackerRank assessments. Ravisankar said the figure varied with factors including geography and seniority.

His explanation is that permitted AI use reduces the incentive for candidates to turn secretly to outside tools that can supply answers. The product therefore shifts the focus from detecting whether AI was used to observing how a candidate uses it and how they defend technical decisions.

Human decisions and regulated hiring

HackerRank says Chakra scores candidates but does not make the final hiring decision. The company describes AI as handling structured portions of an interview through employer-defined criteria, while human interviewers can focus on whether they want to work with the candidate and on questions about the team, role and company.

That division does not remove concerns about automated hiring. HackerRank acknowledges that hiring is regulated, and automated employment tools can inherit or amplify bias through their data, models and criteria. New York City requires employers using certain automated employment decision tools to obtain an independent bias audit and notify candidates before use.

For businesses, Chakra's rollout makes the practical issue less about replacing interviewers and more about governance: define the assessment rubric, decide which scores inform a decision, preserve human accountability and meet applicable notice and audit requirements.