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Top 5 tech interview no-nos

Top 5 tech interview no-nos

Author
Raghu Mohan
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January 30, 2014
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4 min read
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A tech interview is one of the most strenuous things that a programmer can be put through. Companies like Google and Facebook put prospective employees through as many as 8 to 9 rounds of interviews before making a hiring decision. Each round is tougher than the previous round and the number of mistakes that you can make is directly proportional to it.

Most mistakes are hardly ever technical. They're mostly related to interpersonal skills or the lack thereof!

Here are 5 ways in which you can mess up your tech interview.

Talking too much

Alright. You're interviewing with Google. You're excited! That's understandable. But being too excited can cost you that job like it did for Prakash Tibrewal.

Here is his story.

"During campus selections, I had an interview with Facebook. I had butterflies in my stomach!

The interview duration was 50 min. When the interview started, the interviewer was talking about what he was working on (just to make me comfortable). I was so excited that I asked him questions for the next 25 minutes.

That, believe it or not, was my biggest mistake. After those first 25 minutes, he gave me a problem to solve. While I figured out the algorithm quickly, I couldn't finish writing the code in time.

My interview as over after round 1.

This experience taught me that I must gauge a situation and learn to ask questions at the right time."

While asking too many questions can be unfavorable, asking a few or no questions can be interpreted as a display of lack of interest in the company. It is important to get the balance right.

However, as a rule of thumb, it is better to let the interviewer do most of the asking.

Being over confident

Coding interviews can be a nerve-racking ordeal. You may know the answer to every question but nervousness can get the better of you and you are prone to making silly mistakes.

Prakash Deivakani let nervousness get the better of him at his interview with Facebook.

Here's his story.

"I was interviewed by Ajay Somani of Facebook (Red in Topcoder). I was a grey coder by then. He asked me to solve a problem on the board.

I made a mistake and he asked, "Are you sure your solution is correct?" I identified the mistake and corrected it.

He asked again, "Are you sure your solution is correct?". Again, I identified the mistake and corrected it.

He asked yet again, "Are you sure your solution is correct?". While I remained silent, he said, "Your solution is correct. You can wait outside."

There are a few coders who are overconfident bordering on arrogant. It is very important to be confident yet humble. Any sign of arrogance is just going to tell the recruiter that you could be a bad team player.

Find that sweet spot between confidence and humility and you should be fine.

Hackerearth Challenges

Taking the competition into office

Do some ground work about the company you are going to interview with. Who knows, using your favorite device might not go down too well with your prospective employer.

Here's what Doug Luce found out.

"I pulled out an iPad mid-interview to google the interviewer's question. He became visibly agitated and told me I couldn't do that.

The rest of the interview went downhill from there."

We're not quite sure if he was upset about the iPad or the fact that he was googling the question.

Rajat Khandelwal also had a similar experience.

"On the day of interview, I went to the Google office and just as I reached there, I realized that the bag I had was the one I got from InMobi. I didn't think ahead and carried that bag. I don't know but I like to think that it was one of the factors.

The interviewer asked a few questions, which I answered as best as I could. And in the end I asked him this question:

I've heard rumors that all good projects at Google are moved to MtV office so working at Google India is not as great as the name suggests. How true is this?

As soon as I asked the question, I realized that it was inappropriate. Even though my interview was great, my application was terminated at that level."

It's just that simple. Don't ask inappropriate questions or google your interviewer's questions.

Being too eager about the perks and privileges

IT companies set benchmarks in spoiling their employees. From free lunches and unlimited snacks to family severance packages and free health insurance—IT companies have probably covered every possible perk and privilege. This doesn't mean that you ask for it.

Naveen Kumar found it out the hard way.

"I was making a jump from Google to Facebook and I'd heard about the great perks that the Facebook office provides. I was particularly interested in the exotic meals that they provided—so excited that I asked a lot of questions about the meals and other benefits at Facebook to the interviewer.

I think the interview went off quite well, but I never heard back from them. Maybe they thought I was greedy."

Maybe they did. Questions about perks and benefits should be reserved for the HR preferably after you receive a job offer. Stay away from what's-in-it-for-me questions till then.

Not getting enough sleep before the interview

Whether its nervousness or plain old fun, lack of sleep before a big day has never helped anyone. Especially before an interview.

Nakul Agarwal made this mistake and he lost it all.

"I had just completed an interview with DirectI from 2 AM - 4 AM.

Earlier that day I had given two written tests for DirectI (for around 4 hours).

Yet there I was sitting in a black suit all ready for my interview at 5:30 AM with Intel India Pvt. Ltd.

I also had an Nvidia interview at 10 AM.

You can imagine the stress and exhaustion.

So I walk in, he asks me to sit down and asks my name. I give a smile and tell him my name. He then directly starts with the technical questions.

Interviewer: Can you write code for merge sort?

Me: Do you really want me to write the code for merge sort? Won't an explanation suffice? (I mean it is a well known algorithm! What can you possibly test by that?!)

Interviewer: Yes. Please write the code.

Me (writing on the paper) - void mergesort(int a[], int n) { }

Me: Do you really want me to write the code?

Interviewer: Yes

Me: I am not able to write it.

Interviewer (Smiles): Thanks. That will be enough.

Me: Thanks (A sigh of relief)

I go to my room and sleep like a child. I got late for Nvidia test next day :P and still finished first and went back to sleep. Like a child.

Now that's how you screw up interviews.

I didn't get through DirectI, Intel or Nvidia."

Always get enough sleep before your interview. Also, try to space interviews and schedule them for different days.

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Author
Raghu Mohan
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January 30, 2014
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4 min read
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A New Era of Code

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From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

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AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

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This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

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Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

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Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

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How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

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In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
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