How to Get Invisible AI Help for HackerRank With AI Assistant: My 2026 Updates

Silvia AN

·October 10, 2025

·12 min read

My secret hacks for beating Hackerrank proctoring tools in 2025 and passing every test

Last month, I took a HackerRank test, and I gotta say, for folks like me who can only get into companies through the standard application process, the HackerRank test has become the first major hurdle. Their strict cheating detection system means that even the smallest irresponsible actions can lead to some serious consequences. Things like mass copy-pasting, exiting full-screen mode, or accidentally switching tabs could totally derail weeks of preparation.

That’s why I felt it was important to write this article. I wanted to give interviewees a heads-up about how HackerRank's cheating detection works. And I also wanted to provide some tips on how to effectively navigate around those monitoring systems.

I highly recommend checking out Linkjob.ai—it's a real-time, secure, discreet, and efficient AI interview assistant. It stands out among similar products in the tech and interview space. It can help you bypass detection and generate personalized coding answers on the fly, which really eases your interview anxiety!

Not just for online interviews, this AI interview assistant is compatible with almost all common remote meeting, coding test, and online exam platforms. If you're interested, you can read the series of articles: how to cheat on codility, how to cheat in microsoft teams interview, how to cheat on codesignal.

An Overall Review: How HackerRank Monitoring and Detect AI Cheating in 2026

Back in July 2025, HackerRank rolled out an AI-based proctoring system that keeps an eye on candidates' web activity during remote tech tests. This includes coding challenges, approximation questions, multiple-choice questions (MCQs), database tasks, fill-in-the-blank sentences, and project assignments. The proctoring system automatically activates AI plagiarism detection and image analysis features, which flag any suspicious behavior in real time. It then generates summary reports and detailed reports to help assess candidate conduct and overall exam integrity. Once candidates start answering questions, they can’t disable the proctoring system.

All in all, this system has two modes—“Proctor Mode” and “Secure Mode”—and three tools: the proctoring tool, plagiarism detection, and DMCA takedown mechanisms.

Proctor Mode: Track Screen and Copy/Paste Detection

This mode focuses on preventing cheating during the exam by using strict yet smart tech to limit the candidate’s testing environment and windows.

In Proctoring Mode, Hackerrank implements online exam control using methods like webcam monitoring, voice interaction recording, and screen recording. The screen recording usually involves locking the screen in full-screen mode and giving warnings for tab switching. This means I have to take the exam in full-screen mode, and they completely disable the copy/paste function to create a controlled environment. As a result, my ability to access external resources or tools during the test is really restricted.

Secure Mode: Track Active Tab and Webcam Proctoring

Secure mode focuses on preventing cheating before the exam starts, usually using browser-level restrictions and automatic detection. A lot of coding interviews require screen sharing, and interviewers often ask me how I approach problems or how I optimize certain parts of my code. This can be pretty challenging because I need to respond to their questions or tweak my code on the spot based on the current situation. This is when I really wish I had some AI assistance during live coding interviews. But since I’m sharing my screen, the interviewers can see every move I make.

Proctoring Tools: Speed and Behavior Detection

HackerRank usually uses tab monitoring, copy/paste tracking, image monitoring, and image analysis for proctoring. If the hiring company has specific requirements, HackerRank can implement stricter security measures like tab monitoring, secure watermarks, advanced coding behavior recognition, and submission attempt features to spot any suspicious activities.

While the webcam doesn’t track eye movements, the system evaluates the candidate’s body language alongside their web behavior. For example, if the camera notices a lot of mouse movements, scrolling, frequent Ctrl+C and Ctrl+V actions, or an unusual typing rhythm—like suddenly typing a bunch of code after a long pause—it raises a red flag that I might be using outside tools. The system then combines this with code plagiarism detection (which I’ll explain below) to assess whether there's any suspicion of cheating.

These proctoring tools generate detailed logs of candidate activity, including session replays and an evidence collection database.

Plagiarism Detection: Geological, Keystrokes, and Coding Signals

Unlike traditional code monitoring tools like Moss, HackerRank uses a cutting-edge machine learning algorithm to detect code plagiarism. It checks for inconsistencies in the candidate’s code structure, timing patterns, and submission behaviors that don’t match typical human coding patterns by analyzing IP addresses, coding behaviors, submission patterns, and problem characteristics.

The algorithm compares the code submitted by candidates with previous users' practice code or tech stack code on HackerRank, looking at multiple dimensions like logic, control flow, and variable naming conventions. If a candidate's code is highly similar to past submissions, they’ll get a warning. According to their official claims, this algorithm boasts an accuracy rate of up to 93%.

DMCA takedowns: Question Leaking Overlook and Clearance

HackerRank follows the U.S. Digital Millennium Copyright Act (DMCA) and keeps a close eye on code libraries from platforms like HackerRank and Leetcode before exams. If they find any content that looks like it’s leaking exam questions or answers, they’ll take it down immediately to protect the integrity of the question bank and ensure fairness in the testing process.

HackerRank Cheating Methods: How to bypass Hackerank Plagiarism Detection

Before the exam, I actually checked out some methods on Reddit and found that the most common one is the "dual device + variable name modification".

Basically, you use two laptops—one borrowed to access HackerRank and input your code, and your own laptop to Google search for HackerRank and LeetCode answers. The first laptop helps you bypass HackerRank's tracking of browser activity, while the second one is used to log into a virtual HackerRank/LeetCode account or Google Chrome to look up answers or check out others' code. To avoid getting caught by the copy-paste detection system, candidates usually tweak the variable names.

I thought that this approach leads to high equipment costs (either you need to buy two laptops or spend time borrowing one), and requires a ton of effort (imagine trying to juggle two laptops at once while making your code look original).

Given these downsides, I’d recommend going for a real-time AI interview assistant instead. For me, Linkjob.ai is the best choice.

Bypass Screen Track

Since Linkjob.ai is deeply integrated with the system, it runs as a top-layer overlay, so it always stays under the radar. This means that even during screen sharing, I can use it without ever getting flagged by the screen tracking algorithms.

To make sure it really stays hidden, I did a test with a friend before the interview. When I shared my entire screen, here’s what happened:

Your Undetectable & Real-time AI Interview Assistant

However, just because it’s invisible on my computer doesn’t mean it will be bug-free on yours. I’d still highly recommend doing a test run with a friend via a video call before your actual interview, just to be safe.

Bypass Active Tab Track

Typically, online testing platforms have built-in monitoring for browser activity. On HackerRank, for instance, switching tabs triggers an alert because the platform monitors everything within the browser's sandbox.

However, Linkjob AI operates as a native application outside of the browser's environment. Because it resides on a different system layer, it remains completely invisible to the web-based tracking scripts. This allows me to use AI assistance without ever interacting with the browser's focus or triggering its tab-tracking alarms.

Bypass Webcam Proctoring

Recently, interview platforms have been cracking down on AI use. I’ve seen many posts on Glassdoor and Reddit mentioning that online assessments now require cameras to be on, and the same goes for many technical interviews. This means if I’m constantly staring at the AI window on my screen, there’s still a risk of being caught.

However, this is not an unsolvable problem. Based on my experience, here are a few effective strategies:

Adjust Transparency and Overlay: Before the interview, I decrease the opacity of the AI answer panel and position it directly over the problem description. This allows me to read the prompt and the AI suggestions simultaneously. To the interviewer, it simply looks like I am analyzing the problem thoroughly.
Optimize Window Placement: While answering questions, I move the AI answer panel directly below the webcam. This keeps my eye line much more natural. I also make sure to glance at the camera every now and then to keep the connection with the interviewer.

Bypass Keystrokes Track and Copy/Paste Detection

Online testing platforms track my keyboard strokes and clipboard activity. Frequent Ctrl+C and Ctrl+V actions, or abnormal keyboard input rhythms (such as sudden large-scale code entry after a long period of inactivity), will lead the system to suspect that I'm using external tools for assistance.

However, this problem is also the easiest to solve. I just need to manually type in the code based on the AI-generated answers. The only thing to keep in mind is to control my typing pace, and slow down appropriately on the more difficult parts. Then, I can submit my answers at a reasonable time.

Dive In Now !

Watch a 1 min Demo

Bypassing Detection: How to Use AI Assistants More Flexibly to Avoid Plagiarism Detection?

Delivery & Critical Thinking

Don't just read the AI's response word-for-word. Interviewers aren't naive. Use the AI for reference, but always include your own thoughts. After all, AI can't truly replicate human intuition.

If the code is too perfect, it lacks personality and risks raising red flags. When coding, try adding some of your own comments to demonstrate your understanding.

Coding Habits

In a real coding session, people usually write the main logic first and then handle edge cases or fix bugs during review. If you nail every edge case perfectly right from the start, it looks suspicious. Make sure your coding process follows a natural workflow to avoid drawing attention.

Soft Skills & Realism

Problem-solving shouldn't be instantaneous. Don't just blur out the perfect solution immediately; introduce a few minor "flaws" or a thinking process that doesn't affect the final result. This adds realism to your responses.

If you wear glasses, be careful about reflections. The interviewer might be able to see your actual screen in the glare.

AI Tone & Preparation

Choose the best AI tools for cheating— a reliable AI tool is undoubtedly the first step. The quality of AI copilots on the market varies widely. Read about 8 best free AI interview assistants to choose the one that best suits your needs and ensure your interviews go smoothly.

AI-generated answers can sound unnatural and tend to use overly absolute language, which is a telltale sign. Rephrase those parts so you don't sound overly confident.

At the end of the day, AI is just an assistant. You shouldn't rely on it entirely. Before the interview, you still need to thoroughly review your resume and past projects and research the company and the role you're applying for.

HackerRank Test Cheating Using AI

Next, I’d like to highlight some of the HackerRank AI assistant features I’ve used that make the whole process much more efficient.

Capture Live Screenshot

For me, the screenshot-to-answer feature is easily the most practical tool for HackerRank interviews. I can have Linkjob AI capture the entire screen or just a selected area. If one screenshot isn't enough to cover the whole problem, I’ll take multiple shots. It supports processing up to six images at once, which is a very useful feature for complex problems.

I also pre-set my AI prompts in the settings beforehand. This saves me a lot of time because I don’t have to spend a single second during the actual interview telling the AI what to do once it receives my images. For example, I’ve set my prompt to: "This is my coding problem, please provide the solution logic and the full code answer."

While the tool offers a one-click copy for code answers, I never actually use this feature during an interview. My approach is always to manually type out the code to avoid any risk of copy-paste detection that might suggest I’m using an AI tool.

Attach Images / Upload File

I haven't actually used this feature in an interview yet. I feel like it's more geared toward case studies. I only really consider using AI for technical and behavioral interviews, so this specific function isn't that useful for me.

Streaming Conversation AI Copilot

This feature is incredibly helpful for conversational interviews. For instance, it comes in handy when an interviewer asks a follow-up question during a tech round, or when I need a clearer structure for my thoughts during a behavioral interview.

Linkjob AI can automatically recognize the interviewer’s questions and generate answers. This means I don't have to manually explain the questions to the AI myself.

However, it doesn’t always perfectly catch the cutoff point of a question. For instance, if the interviewer talks too fast or doesn't pause clearly, the AI might lump two separate questions into one. But thankfully, it shows the conversation history in real-time, so I can still get all the answers I need from there.

Personalized Service

To make AI responses more tailored to my real situation, I uploaded my resume, target positions, and companies. Before each interview, I fine-tune my AI prompt to ensure the output matches my tone and background.

By the way, there’s a new version out now. The dashboard offers way more customization options. For example, there are more choices for system prompts, and you can fine-tune the AI responses with much more detail.

FAQ

Can the Linkjob AI icon be hidden from the Dock?

Yes. You can toggle off its visibility in the settings.

Does HackerRank Track Eye Movement？

HackerRan, by far, does not track eye movement. However, it may use other methods to monitor user activity during coding assessments, such as tracking mouse movements, keyboard inputs, and browser interactions.

This is typically done to ensure the integrity of the assessment and prevent cheating. If you have concerns about privacy or monitoring during assessments, it's a good idea to review HackerRank's privacy policy or the specific guidelines provided for the assessment you are taking.

Will HackerRank's monitoring system identify "perfect code" as AI-generated answers?

It's very likely. So, as I suggested in the main text, it’s best not to copy the AI’s code verbatim. You can add some comments or even include a few minor flaws that don't affect the overall logic.

Besides HackerRank's OA, can I also use LinkJob AI in other rounds of the interview?

Yes, you can. Linkjob AI can also be used for other interview stages. You can select your preferred prompt in the system prompts beforehand, and if you’re not satisfied with the default options, you can always customize your own.

For example, if you are in a general interview, you can select the "Interview Assistant" prompt. For a technical interview, you can switch to the "Technical Interview Helper" prompt.

An advanced tip is that you can edit the prompt content to include some of your personal background. This makes the AI's answers much more tailored to your specific situation.

Will this AI Assistant be detected for exams with a camera or Webcam?

Absolutely not! Linkjob AI is completely developed based on a virtual system operation layer. Your mouse and AI-generated answers operate within an independent virtual system layer that cannot be monitored by the device on the interview page. Therefore, you don't need to worry about webcam surveillance.

For external cameras, there’s no need to worry about the interviewer suspecting you if your gaze wanders while looking at answers, because you can adjust the transparency of the AI assistant page. You can make the assistant chat box transparent and drag it to the center of the screen, so to the interviewer, it seems like you are seriously reading the questions rather than looking for answers elsewhere on the screen!