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5 Lessons From Running 200 Remote Hackathons

5 Lessons From Running 200 Remote Hackathons

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Pragya Sharma
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February 5, 2021
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3 min read
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Scene from the movie ‘The Social Network.’

A room full of boisterous Harvard undergrads. In the center: a small group of coders hunched over their laptops, typing away at warp speed. Jesse Heisenberg’s character, Mark, explaining to a perplexed Eduardo (Andrew Garfield) that he had walked right into Facebook’s first-ever hackathon.

The audience learns that the coders have 10 minutes to get root access to a Python web server, expose its SSL encryption, and then intercept all traffic over its secure port. The catch? They have to do so while being inebriated beyond their wits. The premise is that if anyone can manage stealth in such a state, they really must be golden.

Drunk, but absolutely golden.

Allow us the pleasure of that intro, please! It reminds us of when we could smell code and innovation in the air, the ideas floating around that one could almost touch, the adrenaline. It gets us poetic and dreamy-eyed. HackerEarth loves hackathons (minus the alcohol obviously). So, you can imagine our pain when COVID threw our plans for 2020 right out the window.

As the world went into quarantine, we went through an existential crisis. No more hackathons in the physical realm – how were we to survive that? The sadness lasted only for a bit, thankfully. HackerEarth has 8 years of experience conducting hackathons across industries, and it took the team only a short time to regroup and work out a process for conducting these events online.

Despite the challenges, we ended the year with 200 remote hackathons (you can read all about them here). Along with that came a ton of learnings and growth, late nights and seemingly-impossible deadlines. Allow me to share these lessons we learnt from running 200 remote hackathons:

Lesson 1: Developers LOVE fighting real-world challenges with hackathons

As most developers would agree, code is never mere code. A line of expressive text can maybe paint a pretty picture in your head; weave a beautiful story; or profess love for a concept, or another human being. But, code….code can essentially create another being – an artificial entity, but creation nonetheless. I know I’m bordering on science fiction, but you catch our drift.

In 2020, however, sci-fi and reality mingled and coders were at the helm of it all. We saw our developer community eagerly participate in hackathons that tackled challenges the world was going through. From celebrating one’s right to sexual expression to mitigating the effects of the virus, and even finding a real-life missing person, our developers solved it all with JAVA and panache.

Lesson 2: Hackathons still rule as branding, engagement, crowdsourcing, and upskilling tools

When redoing our calendar for 2020, we presumed we would be conducting many hiring challenges as companies bounced back and started hiring again. We were delightfully wrong! The Microsoft Azure hackathon that we ran right in the middle of the lockdown was a branding activity meant to help developers get acquainted with the new platform; and a perfect example of how brands used this platform to engage with the community. Hackathons are also great for crowdsourcing ideas and offer cost-effective ways of community networking for the organizers.

A 2019 survey showed that Indian employees spend about 7% of their daily hours commuting. With WFH helping devs save these hours, honing skills became easier. We saw this reflected in the choices our clients made, and also on our Slack channel which we use to interact and converse with developers across the globe. We conducted more ‘internal hackathons’ in 2020 than ever before. Companies asked us to organize these events with the sole intent of keeping their tech teams engaged, and providing them the opportunity to upskill themselves.

Remote hackathons - developer feedback - HackerEarth

Lesson 3: Virtual AMAs cannot replace a physical workshop, but they ain’t all that bad

The ‘upskilling’ part of a hackathon comes from the workshops, and interactions with subject matter experts that are built into the event itinerary. A workshop in the real-world is a different beast altogether. You can have a day-long workshop with breaks in between. There is ample opportunity for strangers to shoot the breeze and talk about the Pythons in their backyard. Finding a virtual alternative for this was difficult, but we found an answer to the conundrum.

AMA (Ask Me Anything) sessions were the alternative we had for these workshops, and minus a few initial hiccups they fared well overall. Zoom fatigue is real, as we all know. Hence, we kept our AMA sessions short and interactive, and broke down a day-long talk into smaller bytes. This meant that each hackathon would have a slightly longer lead period than before – but we found that it helped developers understand the topic better. The shorter sessions can be well accommodated in between all the housework and to-dos we’ve all had to add to our lists in 2020.

Also Read: A Lookback At The Hackathons In 2020

Lesson 4: Communication. And then some

With physical events you can rest easy knowing the likelihood of your participants dropping off after finalizing travel and stay is really low. Drop-offs are easier with virtual events. As easy as not clicking the ‘Join Meeting’ button 😂

2020 taught us a lot about the power of communication. From making sure our event descriptions were more precise than before, to leveraging the power of social media and emails, we went through a masterclass in the art of communicating without being OTT.

This also allowed us to understand how our community was fighting the pandemic much better and tailor events according to their needs. Whether it was an upskilling project or a hiring challenge, this approach helped us get maximum traction for all our events.

Lesson 5: Brands that invest in the community are brands that will reap the rewards

Eight years into our journey of helping companies find the right tech talent, we know exactly how hard the sourcing-to-hire cycle is. 2020 reiterated the fact that community engagement needs to be at the forefront of every company’s tech recruiting process.

Even if a brand wasn’t actively hiring last year, the fact that they were willing to keep communication lines open with developers and help them develop and master new skills through innovation challenges went a long way in building brand recall.

Developers are drawn towards companies that do not just see them as means to achieve a business goal, but as a precious resource that needs to be nurtured. As our recent survey shows, more developers are asking about upskilling opportunities at work post-COVID.

Using upskilling as a hook for engagement and sourcing will not only earn you brownie points from the gods of code, but also help you keep your sourcing funnel flush with unicorns and purple squirrels.

On to more....

As 2021 begins, we have an exciting list of hackathons lined up. If you'd like to organize one for your company, or are interested in knowing more about this cost-effective way of engaging with developers can benefit your business then please book a demo slot here.

See you at the next big HackerEarth hackathon! SUBSCRIBE to the HackerEarth blog to be the first to know when we publish more awesome content on hackathons!
More On Hackathons: How HackerEarth Helped IBM Run A Hackathon Across 10 Countries

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Pragya Sharma
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February 5, 2021
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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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