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What Leadership Means To Us At HackerEarth

What Leadership Means To Us At HackerEarth

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Swetha Harikrishnan
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August 26, 2022
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3 min read
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“If you want your people to think, don’t give instructions, give intent.” - David Marquet, US Navy

A little over a year ago, just as the second wave was picking up, we had an epiphany. Managers, employees, and C-suite folks alike were stressed out. The pandemic raised job uncertainties, and people were worried about the next step in their careers. We decided we had to do something different to take care of our people.

We took feedback from our employees and saw the need to empower our people more. As managers, it is simply not enough to inspire our teams to achieve ambitious goals—and especially, not in the aftermath of a pandemic. We need to equip them with the right tools to be able to actually put in the work. And that’s how we launched our internal leadership program at HackerEarth!

Our objective: To create a strong ‘Leadership’ culture that is baked into the DNA of our company where every single individual feels empowered, accountable to function, and takes decisions as if they were the CEO of the Company.You don't need to be in a people manager role to portray leadership qualities. We aim to make leaders out of every single one of us and help them demonstrate strong leadership qualities. By doing this, there is less stress and dependency on the people managers and every individual is in complete charge of their own development needs; be it personal or career-related. As David Marquet said, we don’t want to instruct our people on what to do; we want them to tell us what they intend to do.
Also, read: Corporate Compassion In The New ‘New Normal’: Where Do You Stand?

How we began to embed a culture of leadership across the company

Communicate the ‘why’

Change is never easy. When it comes to changing the mindsets and behaviors of people, it only becomes harder. We took the time to hold several sessions on what a culture of leadership means, how to inculcate leadership personality behaviors into our day-to-day work schedule, and why this would be beneficial to every single one of us in the company.Our ‘why’ was that we needed to move away from being a lean team and switch to becoming a mean, efficient team, thus removing unnecessary dependencies on each other. We aim to create leaders on the ground, which would help us achieve this goal.

Reflect on our company values

Before formulating a strategy to embrace a robust leadership culture, we went back to the basics and evaluated the values of HackerEarth. Taking into account questions like: “What are our current leadership values?”, “Do these values align across all departments?”, and “Are they relevant to the direction we want to move in?”, we made a few changes.From a list of 10 company values, we brought it down to five comprehensive values that align with our goals:
  • Don’t be an Asshole
  • Team > Me
  • Hunger for Excellence
  • Disagree and Commit
  • Customer Obsession

Introduce leadership personality behaviors

To break down the vast perimeters of the leadership culture concept, we came up with a set of personality traits that are aligned with our values. These traits, or leadership personality behaviors as we call them, provide a uniform language and understanding for all of us across HackerEarth and every newly hired person, on what we mean when we talk about demonstrating ‘leadership’ in our company.This is a good time to note that cultivating this culture is a behavioral change. It is transformational. It can be slow, and that’s okay as long as we all consciously and mindfully adapt to this change and real-time influence it for our people. This is a way of life, which you take onward, even beyond HackerEarth, in your personal and professional life. leadership personality behaviors

Encourage our people to think like leaders

When we thought about empowering our employees with the power to take decisions on their own, we were heavily inspired by this video—Greatness, by David Marquet. The key takeaways that informed our strategy were:
  • Switching from giving instructions to giving intent
  • Giving control
  • Moving authority to where the information is
Refraining from blindly instructing your team members to take action, and encouraging them to come up with their own solutions leads to creative outcomes. They will feel a sense of ownership of their work, be more accountable, and prone to taking initiative more often.Trust your people by giving them the freedom to do what they think is right. Also, when you do this, you’re moving the authority right where the information is—employees who may be the authority on that particular project get to decide the course of action as they are in the best position to know what to do.

Some changes we made to ensure we ‘walk the talk’

  • A team-wide shift in OKRs to include evaluation of leadership behaviors

Leadership behaviors and performance go hand-in-hand. We need our people to be aligned with this mindset, thereby driving a culture of high performance. Depending on how well each employee demonstrates leadership behaviors while upholding our company values, they will be given a rating of either A, B, or C where A is the highest. This coupled with their quarterly goals makes for the final evaluation.
  • Introduced ‘people metrics’ for all people manager OKRs

All managers will carry people metrics on their OKRs. We also run a quarterly manager survey and an annual 360-degree performance review of each manager to better understand and act upon the feedback as given by the teams under their leadership. Other people metrics include:
  • Attrition % - 25% annual
  • Happiness survey score > 4.2
  • Manager survey score > 4.2
  • 360-degree annual performance review
  • Started a manager-centric onboarding process

Holding an onboarding session for all new and first-time managers helps them understand our new approach to leadership. We equip them with a toolkit that has information on all the actions to be taken in the people management aspects of the role—focusing mainly on how to engage with their team and extend authority to them.
  • Increased transparency by sharing headcount and attrition information

Another important way of demonstrating leadership behavior is by sharing company information openly. I see to it myself that our monthly headcount and attrition statistics are sent across to every individual in the organization. Emulating leadership behaviors has been my personal mantra and has elevated, not only the quality of my professional journey but also my personal life. I like to think this is the legacy we leave with you as a company—empowering our people to think like leaders in whatever they do. And I hope, this shift in mindset will remain with every individual who works with us so they get to take it with them wherever they go.

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Swetha Harikrishnan
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August 26, 2022
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3 min read
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Vibe Coding: Shaping the Future of Software

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

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 c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

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

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

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

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

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.

What is a System Design Interview?

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

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

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.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring


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
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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