HackerRank Chakra AI Interview: How to Prepare

If a company sent you a Chakra link, an AI will run your interview. HackerRank made Chakra generally available on October 5, 2026, after a beta of about six months (TechCrunch). There is very little written for candidates yet, so this guide sticks to what HackerRank and the press have published, and marks what is not public. For how AI rules differ across companies, see our AI coding interview overview.

AICodingRound is not affiliated with HackerRank. We have no access to Chakra and no copy of its questions.

Rehearse the work and the follow-ups on AICodingRound. Every problem gives you real code and your own AI as a coach, then ends with questions about your own change, much like Chakra's follow-ups. Try A forwarded password-reset email still changes the password a day later (medium, about 40 min). The beta is free and places are limited: get a place.

What Chakra is

HackerRank calls Chakra "an agentic interviewer that spins up a canvas with a real-world problem" (product page). TechCrunch describes it as an AI agent that conducts the interview, watches you work, and evaluates your answers and how you got there.

A few numbers and names, with who said them:

• Scale. HackerRank says more than 500,000 candidates have been interviewed by Chakra (product page). TechCrunch reports the same figure for the beta. Both come from the company.
• Early users. TechCrunch names Snowflake, Snorkel and Capgemini as early testers.
• What it replaces. In HackerRank's pitch, one Chakra session replaces three steps: a recruiter screen, a take-home and a follow-up interview with an engineer (TechCrunch). Your company may use it for only one of those.
• Who decides. Per TechCrunch, Chakra scores candidates, and the final hiring decision stays with humans.

What a session looks like

HackerRank's candidate help page is the most concrete source. It was updated recently; we read it on October 28, 2026. It says:

• It is a video interview. You grant webcam and microphone access and share your screen. If your face is not clearly visible, the Start button stays disabled.
• Only one monitor may be connected. The interview opens in full screen, and you can leave full screen only after you finish.
• For coding questions, Chakra opens an editor where you can write, edit and run code while you keep talking to it.
• After you submit code, Chakra asks follow-up questions about your approach and reasoning.
• There is a separate Integrity Guidelines document. Read it before you start.

TechCrunch describes the coding task as a real-world code repository that you work on in a canvas with an AI assistant. Whether you may use that assistant, and how much, is set by the company and the guidelines. HackerRank's product page puts it this way: "Integrity isn't about whether you use AI or not. It's about following the rules." The same page says Chakra flags unauthorized apps, naming the cheating tool Cluely as an example.

What is not public: the length of a session, the languages offered, and whether you can retake it. Ask your recruiter.

What it scores

HackerRank's product page says Chakra evaluates "judgment, critical thinking & AI fluency." It scores "what they say during the conversation and the work they do in the hands-on section," and each score comes with evidence from the transcript and your work.

TechCrunch defines AI fluency as how well a candidate frames a problem for the AI, judges its output, and steers it toward a solution. That is three skills, and only one of them is prompting.

In a letter titled "Sorry, we made you grind LeetCode", HackerRank's CEO lists the questions Chakra asks: "Why did you choose that approach? What would you change? How did you validate the AI-generated code?" TechCrunch adds one more kind: how your solution would change under a new constraint.

HackerRank's CEO also told TechCrunch that suspicious-activity flags were 70% to 80% lower in Chakra interviews than in comparable HackerRank assessments. That is the company's own figure, and it does not tell you much except that monitoring is on.

The follow-ups are the interview

Your code is evidence. The follow-up questions are where you explain it, and the transcript is scored. Rehearse each question with a concrete answer.

"Why did you choose that approach?" Name the alternative you did not pick and the reason. "I put the check in the service, not the route, because two other routes write the same table" beats "it seemed cleanest."

"What would you change?" Have one honest answer ready: a test you would add, a case you skipped, a cleanup you left out on purpose. Saying what you skipped shows judgment. Pretending the work is perfect does not.

"How did you validate the AI-generated code?" This is the one most people fumble. "I ran it" is weak. Strong answers name the check: "I ran the existing tests, then added one for a username with a trailing space, which the AI's version let through," or "I read the date parsing and saw it assumed month first, so I tried 03/04 with a UK account."

"What if the constraint changes?" Expect 100 times the data, two requests at the same moment, or malformed input. Say what breaks first and what you would change. You do not need to code it.

A 5-day prep plan

This assumes about an hour a day.

Day 1: setup and talking. Test your webcam, microphone and screen sharing on the device you will use. Unplug the second monitor. Then solve any short problem while talking out loud the whole time, and record it. Listen back once. Most people go silent when they think hard; practice narrating anyway.

Day 2: a bug in code you have never seen. Do A forwarded password-reset email still changes the password a day later (medium, about 40 minutes). Narrate as you go. At the end, answer the four questions above out loud.

Day 3: judge AI-written code. Review the AI's webhook-signature PR (about 10 minutes), then the AI's percentage-refunds PR (about 35 minutes). For each problem you flag, say how you confirmed it: a test, a line of the docs, or a request you sent.

Day 4: change the constraint. Do Nightly warehouse sync misses orders (about 10 minutes). Then ask yourself the follow-up: what if there were a million orders, or the sync ran twice at once? Say what would break.

Day 5: dress rehearsal. Pick one problem you have not seen, set a timer, work with your AI the way the company allows, and finish with two minutes of explanation. Then write down the one question you answered worst and practice it again.

Practice for Chakra on AICodingRound

Every problem on AICodingRound follows the same shape as a Chakra session: real work in a code repository, then questions about it. You work a ticket in a multi-file app, your work is checked automatically (for a fix, tests also check that nothing else broke), and a short debrief asks what caused the problem and how you checked it. The report gives a level per skill (Strong, Solid or Developing), including how you used AI.

Your own Claude or Codex works as a coach: it reads code and explains, but it does not write the fix, so your answer to "How did you validate the AI-generated code?" is always your own. We do not run a video interviewer, so keep day 1 of the plan for camera practice. Run days 2 to 5 on AICodingRound. The beta is free and places are limited: get a place.

If your loop also includes a pull-request review, read our guide on reviewing AI-written PRs in a code review interview.