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Guide to building your first VR application

Guide to building your first VR application

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Pratham Sehgal
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March 4, 2017
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7 min read
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“Just keep it simple, silly!”

It is often both exciting and intimidating while starting to learn new stuff, but it is also the only way to keep us updated, with one foot in the future.

Although there is so much of frenzy around Mixed Reality these days, there are really very few developers currently working on AR/VR.

While there already is a lot of shortage of tech talent worldwide, the scales of demand and supply are even more skewed in this particular category.

Here is all that you need to know to start building your first application for Virtual Reality:

Start by Exploring

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Before you sit down and start developing, you’ll need to know a little bit about the ecosystem itself and the scope of the technology in the current landscape. You do that by spending enough time exploring new applications and following relevant industry insiders, developers, and media channels who are already neck deep in the stuff and listen to what they have to say.

For more information on getting started with virtual reality, go here.

Get your tools right

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Don’t worry about having the latest and most expensive VR Gear in the beginning. Just get yourself a $10 Google Cardboard; that’ll be enough to get you started. Also, do not download the latest version of Unity or Google VR as they usually come with several bugs and need a lot of fixing which at the beginning might leave you stumped. Go for the most stable build out there.


The most stable build at the time of publishing of this article is:
Unity3d 5.4.2: Unity – Get Unity – Download Archive
Google VR 1.03: Google VR SDK for Unity

(To download GVR 1.03: Go to the above link. Then, click on “33 commits” under where it says Google VR SDK for Unity and above where it says Branch: master.

Where it says GVR Unity SDK v1.0.3, click on the “< >” button on the far right. That takes you to a version of the repository from a previous date, v1.0.3 in this case.

Finally, click on the green “Clone or download button” and select Download Zip.

*It’ll be a big file of size around 800 MB, but you’ll just need the Unity package which is about 50 MB; you’ll have to download the complete file though, then delete the rest of it later.)

Form a routine

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You might have classes or a job, but if you don’t take some time out every day, then with each day that you don’t get hands on the tools, it will push you back a lot and the next time you open the tools, you might have a hard time figuring out where you left. You might have to start all over again!


What I did and what I recommend is committing at least half an hour each day to familiarizing yourself with the gaming engine you’re working on whether you are able to make significant progress each day or not.


Also, so that you don’t lose focus and interest along the way, I suggest you form a small group of 3–5 friends who are also interested in the space on Whatsapp, Facebook, or wherever you like and make it a point to share at least one article that you come across each day in that group. It will force you to develop a habit of reading something related every day. Do it even if nobody else seems to be participating.

Practice, Practice, Practice

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This is a no brainer; most development on VR depends on how well you know your gaming engine (Unity in this case) and a little bit of programming. And no matter what you think you’ll typically have to put in at least 40–50 hours of productive time on getting a hang of these tools before you can really start building your own stuff. A lot of tutorials are available online which will guide you while making your first application without much of a background.

I suggest that you read as many tutorials as you can to understand these tools. You will be deceiving yourself if you believe that you’ve got the hang of the tools the first time you follow the tutorial and what you create will actually work. You’ll soon discover that it will be hard for you to recall any of it a day or two later, Don’t pull out your hair if your application doesn’t come up as they taught in the tutorial, as what’ll happen most of the time is you’ll have different machines, different SDKs, and different versions of packages that you’ll be using. So, it will be only natural if something doesn’t work quite as it does in the tutorial.

Combinatory Approach

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Do what you know. After spending some time on the tutorials, you’ll have learned a couple of tricks and will be comfortable implementing some of the functionalities really well. Just focus on that and nothing else. Don’t go into your first project with a specific idea. ?Learn what you can do and design an application around that. Don’t let a specific idea bog you down. Remember this, your first project is supposed to be something of a disaster, and there is no shame in accepting that. You’ll get only better from there.

Start small

Source: G1-start.gif

Learn that complex applications are made with huge teams over a long duration. Starting off the first time, you might not necessarily have the correct frame of reference of how long it is going to take you to build stuff, so don’t plan any project which you think is going to take more than a couple of weeks. For example, if you’re building a game like Mario, then do so by stripping all the unnecessary items like keeping it to just one level only without any enemies to dodge or points to collect and other additional conditions; just focus on the minimum number of things that will make it work, say, setting the environment and making your player jump and move. You’ll be surprised that the first time around even this is going to take you a huge amount of time. You can always add things later on. Your first application is going to take you an amount of time that is cumulative of all the practice time that you put in and even more. But just stick to it and your routine; it is a part of the process and don’t be afraid to write a little bit of code. If you design it right, you’ll need to do very little of coding anyway to get anything done.

Don’t worry about making it look pretty; worry about it working at all

Source: PMQqMWf.gif

When you are just getting started, you’ll want to go in with the idea of everything being perfect. Just make a note that it is anyway going to be time consuming and also difficult the first time, so do not waste your energy trying to make it look good, just keep striving toward making it work at all. The first ever VR application that I built on my own was very rudimentary, yet it took me about a month to build it, and a lot of time was spent figuring out small details. When you get started, you’ll realize that most of the time it will be the small stuff that keeps you from moving ahead. Sometimes, things won’t work because a library that you’re working on doesn’t exist anymore or because an update in the SDK makes a lot of what you’ve done irrelevant. This is part of the process as well, allowing you to learn the details of the process of building.

Here is the link of the application that I built:

https://play.google.com/store/apps/details?id=com.Pratham.ShootemVR

The project it open source, use it to learn and build if you want to. Here is the link to the assets: https://github.com/pratham2504/Shoot-em-VR

Set milestones

Source: giphy.gif

Even though it sounds obvious, you’ll be surprised how easy is it to let days go by without getting much stuff done. Setting small daily milestones will help. Don’t wait if you are not making progress; just ask around or in sometime you’ll convince yourself that it is not working and just quit. Use forums and repositories such as Stackoverflow or Unity Community resources or just ask people at random who’s working on similar things. Most of the time, you’ll find help.

Just remember, anything worth doing is a struggle but if you stick to it, you’ll eventually get there.

And have fun while learning and building cool stuff. You’ll be glad when you show what you built to your friends for the first time even if it may not look all that pretty.

Excited about VR?

Register at the UnitedByHCl hackathon
Happy mixing reality!

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Pratham Sehgal
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March 4, 2017
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7 min read
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A New Era of CodeVibe 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,...

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 code.

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...

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...

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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