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Hackathons simplified

Hackathons simplified

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Ashmita
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September 25, 2019
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3 min read
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When some people hear the word “hackathon,” a wave of intimidation spills over them.

Well, let me help you pitch the idea. Ahackathon, also known as a codefest, is typically a day-long coding competition where a bunch of software developers, computer programmers, designers, and others join hands to improve upon or build a new software program.

Hackathons maybe theme-based. However, the majority of hackathons gives developers and programmers free rein to be creative and build something awesome.

One can create a web app, a website, chrome extension, it’s an open environment!

Stating an exciting fact here—many popular features of Facebook such as the like button, Facebook timeline, chat, and video were all conceived during hackathon projects.

A hackathon is a place where you find diversified minds and ideas, all under one roof. You will eventually end up honing your existing skills and acquiring new ones in the process.

Acquire industry-specific job skills

Creating something from nothing is difficult. In fact, it may be one of the most challenging tasks. Ahackathonlets one acquire industry-specific job skills.

If you are new to programming, you will learn how to build a project from scratch, buff out the glitches, and present it to a panel of experts.

On the other hand, if you are already a coding professional, you have an opportunity to enhance your skills.

All-in-all, a hackathon is a win-win situation. It prepares you forworking in a fast-paced, industry-driven environment, and gives professional experience in tackling coding challenges.

Improve problem-solving skills

Want to stretch your problem-solving skills to the limit? Attend a hackathon! To get the job done, you will need to learn how to focus on what is important.

And no matter however pre-defined your ideas are before you attend, you will eventuallylearn to be flexible and adaptable in your approach.

Also, you will get the opportunity to literally drill down issues and understand them to their very core.

Learn teamwork

The importance of teamwork cannot be overstated. It is very, very important, especially in such events.

Hackathons encourage you to work with people that you do not often work with, which eventually leads to wonderful ideas.

You learn to partition tasks, share a codebase, and get along the process through good and bad as a team.

Also, “pair programming” is a common practice at hackathons. It involves finding someone of similar skill sets, and then taking turns building and advising on the project.

It offers considerable learning potential and teaches effective collaboration.

Work under pressure

Hackathons aim at developing something awesome within a limited time frame, infusing work pressure among participants and testing them beyond their limits.

You will definitely learn to complete tasks faster than what you’re generally used to.

Transform concepts into reality

The core concept of most hackathons is theability to turn concepts into deliverable actions or a working prototype. Hackathons are a great way to involve and understand every stage—from design to deployment—of a product.

The gap between ideation and execution is huge. For instance, when Uber brought the idea of helping customers find a ride via connectivity, many people said, “I had that same idea.”

Still, Uber made it happen in the best possible way. Similarly, there are several ideas that people think of, and a hackathon lets one execute ideas and create something mind-boggling!

If youwant to participate in a hackathon, you just need to know the genre, form a team (either at the event or with people you know), and hack away at a project!

Hackathons are a whirlwind! If you come in with a strategy, they can be a useful format for making significant progress in a short amount of time.

If you are new to hackathons, knowing where to begin with may be daunting.

Traditionally, hackathons come from identifying a problem and then considering different ways to solve it.

For instance, how can a new tool like an app builder or any app make life easier? To help you get there, here is a list of hackathons that HackerEarth has conducted to let you gain some insights.

How can hackathons help you?

Hackathons for product and API adoption

Studies show that hackathons seem to be the most effective method to acquire and engage developer talent for open APIs.

Hackathons give you the opportunity to put your product(API) in the hands of passionate developers and get them to use it. They give you valuable feedback on how your product can be improved.

Several companies have used hackathon to drive API adoption. Here are a few –

Amazon Alexa: Building voice-first experiences through the Alexa skills hackathon

Alexa, the voice service behind Amazon Echo, is changing how a consumer interacts with technology. With Alexa being able to pick up multiple roles—anything from a concierge or a sous chef to a fitness coach or a DJ — every time a new skill is added, theAlexa Skills hackathonwas aimed at building even more skills for Alexa to make it smarter.

The goal of the hackathon was to educate developers about Alexa. Amazon wanted to get them to experience building skills for Alexa for the first time.

IBM: Using Bluemix to develop apps on the Bluemix platform

IBM Bluemix is a cloud platform as a service (PaaS) developed by IBM. It supports several programming languages and services as well as integrated DevOps to build, run, deploy, and manage applications in the cloud.

TheIBM Bluemix hackathonwas a product building innovation campaign where participants could build web and mobile apps with Watson on IBM Bluemix.

Hackathons for branding

An employer branding hackathon is a highly targeted branding activity. It allows a company to let potential employees know what the company stands for, the challenging projects it works on, and communicates its values to them.

By conducting a targeted hackathon, you will be able to let the developer community know about your company and the technology stack you use. It also allows companies to build a talent pipeline. Here’s how HP Enterprise leveraged hackathons for employer branding-

HP Enterprise: When innovation acted as a brand driver

HPE is a brand synonymous with innovation. With over 80 years of world-class technology innovation and the famous “HP Way” of transforming great ideas into successful tech products, the company partnered with HackerEarth for its employer branding activities.

TheHPE Thinkathonwas a hackathon specifically for college students. With coding gaining more attention with each passing day, HP aimed to cultivate a culture of coding among students.

Hackathons for hiring

Hackathons are changing the way a traditional hiring process works. Hiring that involved multiple rounds of interviews in the past are quickly being replaced by hiring hackathons. Here’s how Accenture used a hackathon tohire better talent.

Accenture—Hiring coding enthusiasts through the Hack Diva challenge

The Accenture Hack Diva challenge was a women-centric programming challenge targeted at women students interested in technology to showcase their problem-solving skills and compete with their peers across the country.

The event aimed at bringing together some of the brightest engineering students and celebrating women who are passionate about technology.

Internal hackathons

Internal hackathons act as a playground for exploring possibilities. Accelerate innovation by bringing all the business stakeholders on a single platform to ideate, collaborate, build, and implement solutions to real-world challenges.

Benefits –

  • Collaborative innovation — Internal hackathons help foster collaboration across geographies
  • Accelerate customer innovation — Faster go to market for customer requirements
  • Drive engagement — A fun activity for your entire company
  • Adapt to disruption and stay ahead of competition

Hackathons to foster collaboration and boost employee engagement

The use of employee hackathons to solve organizational problems is on the rise. This fun event helps bring together the best brains from across your organization to solve pressing business challenges while having a good time.

Global talent advisers perfectly sum up what happens during a hackathon of this kind, “Employees who have participated in a hackathon love it because it is a highly engaging activity. They work with colleagues from other departments to brainstorm and design working prototypes. Employees feel that they are part of the solution. They have a sense of pride that they are contributing to the success of the company.”

Hackathons to solve customer challenges

Hackathons can be catalysts for organizations looking to accelerate innovation. You could use a hackathon to develop innovative yet practical solutions to support the customer experience.

The best part is you get a pipeline of hacks which can provide the highest value to customers in the shortest amount of time and you can work on accommodating them in your product road maps.

Hackathons to help you speed up product launches

Hackathons create an environment that creates an internal drive among your team to work together on new product features or improvements.

The best part is that since the entire team works towards this within a stipulated period of time, you have multiple solutions many of which are market-ready and can be directly implementable. This means you can easily accommodate them in your product road maps and releases.

Hackathons to create a culture of innovation

Innovation is critical to business success now more than ever. It is imperative for business leaders and entrepreneurs to make innovation their constant business priority.

Incorporating innovation into your company’s culture will help you create an environment that empowers.

Technology, University, Government, and Social hackathons

One of the best things you get out ofconducting a hackathonis the outcome. A hackathon is a great tool especially if you are looking for swift market-ready solutions.

And these solutions are applicable across a wide range of sectors—from technology hackathons to government and social hackathons and even university hackathons.

Technology hackathons

Hackathons are a great way of using cutting edge technologies to solve some pressing business challenges.

Some commonly used technologies include Machine Learning, Blockchain, IoT, AR/VR, etc and these have been used to solve problems on customer data management, identity management, and asset trading via hackathons.

Machine Learning hackathons

Organizations such as Unilever, Societe Generale, Future Group, and many others have leveraged the power of Machine Learning to build better businesses.

Hindustan Unilever Ltd: Crowdsourcing Machine Learning models to understand consumer preferences

Being one of the largest FMCG companies in India, HUL ran a hackathon to understand consumer preferences in small retail stores in neighborhoods by capturing sales data through a point of sales system and leverage it with innovative Machine Learning (ML) and analytical models.

Societe Generale: Building predictive models from banking and financial data

This French banking and financial MNC wanted to put its financial data to better use by leveraging the power of the crowd for data analysis and building predictive models.

Future Group: Crowdsourcing digital solutions to master customer data management

Future Group is one of the largest retailers in India and through the Future Datathon, this organization used Machine Learning to understand customer behavior and buying needs better.

Blockchain hackathons

From traceable supply chains to permanent identity for refugees, blockchain is pioneering transparent and secure business processes.

Blockchain technology provides new infrastructure to build the next innovative applications beyond cryptocurrencies, driving profound, positive changes across businesses, communities, and society.

Many organizations have used blockchain hackathons to build impactful solutions and here are a few examples

Accenture: Leveraging Blockchain for social good

With the industry gearing toward an exciting phase in the evolution of blockchain-based solutions, Accenture has consciously worked toward leveraging ‘Blockchain for good’.

Regarded as one of the top 10 biggest blockchain companies, Accenture’s blockchain developers work at the heart of the blockchain technology landscape, working with multiple alliance partners— DAH, Ripple, R3, Microsoft, EEA, Hyperledger, etc.

University hackathons

Hackathons are important for growth because it allows students to apply creativity, learn technical skills, generate business ideas, work in a team, network with peers and professionals, and win some cool prizes.

Top universities across the world use hackathons to drive creativity and problem-solving capacity among students.

Government hackathons

Governments around the world are leveraging technology for better governance and hackathons are a great way to find solutions which can be readily implemented. A few examples are:

Smart Odisha hackathon — Make in Odisha Conclave 2018

The student community is an integral part of spearheading development projects, owing to its innovative and enthusiastic approach toward a problem.

To harness the talent of student communities, “Smart Odisha Hackathon” was organized by the Skill Development and Technical Education Department, Government of Odisha, in association with the Biju Patnaik University of Technology (BPUT), Odisha. The idea behind this 36-hour long hackathon was to attract talent to identify innovative IT solutions for public service delivery and effective governance.

NITI Aayog—Pune Smart city hackathon

The challenge was to find insights and solutions for smarter ways to develop Pune.

The hackathon addressed important themes such as water management, solid waste management, safety, public health, and digital connectivity.

Bhopal smart city hackathon

This hackathon was organised by the Bhopal Smart City Development Corporation Limited, in partnership with Hewlett Packard Enterprise.

Participants had to come up with technology solutions in this 48 hour hackathon to make Bhopal smarter.

Social hackathons

Hackathons can help you harness the creative power and skills of thousands of participants to bring you closer to realizing your organization’s social welfare goals.

Create working prototypes of solutions by utilizing developer communities, along with your participants, without having to build a team of your own.

Centro Fox: Creating technology solutions for social problems in less than 48 hours

Centro Fox is a Mexican organization which works toward creating compassionate leaders for a better world.

Founded by Vicente Fox, former president of Mexico, the center consciously works toward training quality leaders dedicated to serving their community in Mexico and Latin America.

The talent hackathon at Centro Fox aimed to bring together participants from Mexico to work on solutions for creating a smart city.

Hackocracy: Crowdsourcing to build a better democracy

With the belief that technology-based solutions could streamline processes and revolutionize the lives of millions, well-known NGOs such as the Umang Foundation, Janaagraha, and the Nudge Foundation teamed up with HackerEarth to come up with digital solutions to handle real-world problems throughHackocracy— a hackathon to build a better democracy.

FAQs

Who can attend a hackathon

Hackathons are for everyone. YES! You read that right. Anyone with a knack in computer programming can attend a hackathon. One does not necessarily need to have programming experience. Organizers usually hold workshops throughout the event for people who are new to programming, helping individuals harness new skills and relationships.

How to prepare for a hackathon?

You’d like to try a hackathon? Great! We’ve put together a list of 5 things you can do to prep.

Do I need to pay any money to register for a hackathon?

No. You do not have to pay anything to anyone to register yourself for any Hackathon on HackerEarth.

How do I submit the prototypes/ideas created for the hackathon?

You have to develop the application on your local system and submit it on HackerEarth in tar/zip file format along with instructions to run the application and source code.

Do we need to have the entire idea fully working?

The entire idea need not be fully implemented. However, the submission should be functional so that it can be reviewed by the judges.

Do I need to provide a demo for the product I have built?

If you want, you can submit a small presentation or video that demos your submission. However, it’s not mandatory and only good to have. In case you are one of the winners, you might be invited to demo your application at a physical event, details of which will be shared with sufficient advance notice.

How is the environment? Will the hackathon environment support any language? Will the organization provide any IDE and DB for us to work on ideas?

You have to develop the entire software application on your local system and submit it on HackerEarth in tar/zip file format along with instructions to run the application and source code.

Who owns my project and IP?

It can vary from hackathon to hackathon. The conditions of participation in a hackathon may include alternative arrangements, such as first-look rights, exclusive rights, or shared IP rights. Also, the finalists and winners are generally given prizes or sums of money – essentially in exchange for their ideas.
In case of an internal hackathon where organizations conduct these events for their employees, all rights are owned by the company. It has the total ownership of inventions made by its employees.
In case of an open or a public hackathon, the ownership rights are often open to dispute. In this case, the inventions are made by an unpaid third party — the hackathon participants.

But in any case, it’s essential to take a careful look at the conditions of participation. Be sure to double check with the organizer. If you are employed elsewhere, review the hackathon terms to see if your participation causes any conflict of business interest with your current employer.

How to win a hackathon?

It all boils down to 10 simple steps. HackerEarth provides an exhaustive list to help win hackathons. The steps are pretty broad on purpose – you can define them anyway you want.

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September 25, 2019
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How I used VibeCode Arena platform to build code using AI and leant how to improve it

I Used AI to Build a "Simple Image Carousel" at VibeCodeArena. It Found 15+ Issues and Taught Me How to Fix Them.

My Learning Journey

I wanted to understand what separates working code from good code. So I used VibeCodeArena.ai to pick a problem statement where different LLMs produce code for the same prompt. Upon landing on the main page of VibeCodeArena, I could see different challenges. Since I was interested in an Image carousal application, I picked the challenge with the prompt "Make a simple image carousel that lets users click 'next' and 'previous' buttons to cycle through images."

Within seconds, I had code from multiple LLMs, including DeepSeek, Mistral, GPT, and Llama. Each code sample also had an objective evaluation score. I was pleasantly surprised to see so many solutions for the same problem. I picked gpt-oss-20b model from OpenAI. For this experiment, I wanted to focus on learning how to code better so either one of the LLMs could have worked. But VibeCodeArena can also be used to evaluate different LLMs to help make a decision about which model to use for what problem statement.

The model had produced a clean HTML, CSS, and JavaScript. The code looked professional. I could see the preview of the code by clicking on the render icon. It worked perfectly in my browser. The carousel was smooth, and the images loaded beautifully.

But was it actually good code?

I had no idea. That's when I decided to look at the evaluation metrics

What I Thought Was "Good Code"

A working image carousel with:

  • Clean, semantic HTML
  • Smooth CSS transitions
  • Keyboard navigation support
  • ARIA labels for accessibility
  • Error handling for failed images

It looked like something a senior developer would write. But I had questions:

Was it secure? Was it optimized? Would it scale? Were there better ways to structure it?

Without objective evaluation, I had no answers. So, I proceeded to look at the detailed evaluation metrics for this code

What VibeCodeArena's Evaluation Showed

The platform's objective evaluation revealed issues I never would have spotted:

Security Vulnerabilities (The Scary Ones)

No Content Security Policy (CSP): My carousel was wide open to XSS attacks. Anyone could inject malicious scripts through the image URLs or manipulate the DOM. VibeCodeArena flagged this immediately and recommended implementing CSP headers.

Missing Input Validation: The platform pointed out that while the code handles image errors, it doesn't validate or sanitize the image sources. A malicious actor could potentially exploit this.

Hardcoded Configuration: Image URLs and settings were hardcoded directly in the code. The platform recommended using environment variables instead - a best practice I completely overlooked.

SQL Injection Vulnerability Patterns: Even though this carousel doesn't use a database, the platform flagged coding patterns that could lead to SQL injection in similar contexts. This kind of forward-thinking analysis helps prevent copy-paste security disasters.

Performance Problems (The Silent Killers)

DOM Structure Depth (15 levels): VibeCodeArena measured my DOM at 15 levels deep. I had no idea. This creates unnecessary rendering overhead that would get worse as the carousel scales.

Expensive DOM Queries: The JavaScript was repeatedly querying the DOM without caching results. Under load, this would create performance bottlenecks I'd never notice in local testing.

Missing Performance Optimizations: The platform provided a checklist of optimizations I didn't even know existed:

  • No DNS-prefetch hints for external image domains
  • Missing width/height attributes causing layout shift
  • No preload directives for critical resources
  • Missing CSS containment properties
  • No will-change property for animated elements

Each of these seems minor, but together they compound into a poor user experience.

Code Quality Issues (The Technical Debt)

High Nesting Depth (4 levels): My JavaScript had logic nested 4 levels deep. VibeCodeArena flagged this as a maintainability concern and suggested flattening the logic.

Overly Specific CSS Selectors (depth: 9): My CSS had selectors 9 levels deep, making it brittle and hard to refactor. I thought I was being thorough; I was actually creating maintenance nightmares.

Code Duplication (7.9%): The platform detected nearly 8% code duplication across files. That's technical debt accumulating from day one.

Moderate Maintainability Index (67.5): While not terrible, the platform showed there's significant room for improvement in code maintainability.

Missing Best Practices (The Professional Touches)

The platform also flagged missing elements that separate hobby projects from professional code:

  • No 'use strict' directive in JavaScript
  • Missing package.json for dependency management
  • No test files
  • Missing README documentation
  • No .gitignore or version control setup
  • Could use functional array methods for cleaner code
  • Missing CSS animations for enhanced UX

The "Aha" Moment

Here's what hit me: I had no framework for evaluating code quality beyond "does it work?"

The carousel functioned. It was accessible. It had error handling. But I couldn't tell you if it was secure, optimized, or maintainable.

VibeCodeArena gave me that framework. It didn't just point out problems, it taught me what production-ready code looks like.

My New Workflow: The Learning Loop

This is when I discovered the real power of the platform. Here's my process now:

Step 1: Generate Code Using VibeCodeArena

I start with a prompt and let the AI generate the initial solution. This gives me a working baseline.

Step 2: Analyze Across Several Metrics

I can get comprehensive analysis across:

  • Security vulnerabilities
  • Performance/Efficiency issues
  • Performance optimization opportunities
  • Code Quality improvements

This is where I learn. Each issue includes explanation of why it matters and how to fix it.

Step 3: Click "Challenge" and Improve

Here's the game-changer: I click the "Challenge" button and start fixing the issues based on the suggestions. This turns passive reading into active learning.

Do I implement CSP headers correctly? Does flattening the nested logic actually improve readability? What happens when I add dns-prefetch hints?

I can even use AI to help improve my code. For this action, I can use from a list of several available models that don't need to be the same one that generated the code. This helps me to explore which models are good at what kind of tasks.

For my experiment, I decided to work on two suggestions provided by VibeCodeArena by preloading critical CSS/JS resources with <link rel="preload"> for faster rendering in index.html and by adding explicit width and height attributes to images to prevent layout shift in index.html. The code editor gave me change summary before I submitted by code for evaluation.

Step 4: Submit for Evaluation

After making improvements, I submit my code for evaluation. Now I see:

  • What actually improved (and by how much)
  • What new issues I might have introduced
  • Where I still have room to grow

Step 5: Hey, I Can Beat AI

My changes helped improve the performance metric of this simple code from 82% to 83% - Yay! But this was just one small change. I now believe that by acting upon multiple suggestions, I can easily improve the quality of the code that I write versus just relying on prompts.

Each improvement can move me up the leaderboard. I'm not just learning in isolation—I'm seeing how my solutions compare to other developers and AI models.

So, this is the loop: Generate → Analyze → Challenge → Improve → Measure → Repeat.

Every iteration makes me better at both evaluating AI code and writing better prompts.

What This Means for Learning to Code with AI

This experience taught me three critical lessons:

1. Working ≠ Good Code

AI models are incredible at generating code that functions. But "it works" tells you nothing about security, performance, or maintainability.

The gap between "functional" and "production-ready" is where real learning happens. VibeCodeArena makes that gap visible and teachable.

2. Improvement Requires Measurement

I used to iterate on code blindly: "This seems better... I think?"

Now I know exactly what improved. When I flatten nested logic, I see the maintainability index go up. When I add CSP headers, I see security scores improve. When I optimize selectors, I see performance gains.

Measurement transforms vague improvement into concrete progress.

3. Competition Accelerates Learning

The leaderboard changed everything for me. I'm not just trying to write "good enough" code—I'm trying to climb past other developers and even beat the AI models.

This competitive element keeps me pushing to learn one more optimization, fix one more issue, implement one more best practice.

How the Platform Helps Me Become A Better Programmer

VibeCodeArena isn't just an evaluation tool—it's a structured learning environment. Here's what makes it effective:

Immediate Feedback: I see issues the moment I submit code, not weeks later in code review.

Contextual Education: Each issue comes with explanation and guidance. I learn why something matters, not just that it's wrong.

Iterative Improvement: The "Challenge" button transforms evaluation into action. I learn by doing, not just reading.

Measurable Progress: I can track my improvement over time—both in code quality scores and leaderboard position.

Comparative Learning: Seeing how my solutions stack up against others shows me what's possible and motivates me to reach higher.

What I've Learned So Far

Through this iterative process, I've gained practical knowledge I never would have developed just reading documentation:

  • How to implement Content Security Policy correctly
  • Why DOM depth matters for rendering performance
  • What CSS containment does and when to use it
  • How to structure code for better maintainability
  • Which performance optimizations actually make a difference

Each "Challenge" cycle teaches me something new. And because I'm measuring the impact, I know what actually works.

The Bottom Line

AI coding tools are incredible for generating starting points. But they don't produce high quality code and can't teach you what good code looks like or how to improve it.

VibeCodeArena bridges that gap by providing:

✓ Objective analysis that shows you what's actually wrong
✓ Educational feedback that explains why it matters
✓ A "Challenge" system that turns learning into action
✓ Measurable improvement tracking so you know what works
✓ Competitive motivation through leaderboards

My "simple image carousel" taught me an important lesson: The real skill isn't generating code with AI. It's knowing how to evaluate it, improve it, and learn from the process.

The future of AI-assisted development isn't just about prompting better. It's about developing the judgment to make AI-generated code production-ready. That requires structured learning, objective feedback, and iterative improvement. And that's exactly what VibeCodeArena delivers.

Here is a link to the code for the image carousal I used for my learning journey

#AIcoding #WebDevelopment #CodeQuality #VibeCoding #SoftwareEngineering #LearningToCode

The Mobile Dev Hiring Landscape Just Changed

Revolutionizing Mobile Talent Hiring: The HackerEarth Advantage

The demand for mobile applications is exploding, but finding and verifying developers with proven, real-world skills is more difficult than ever. Traditional assessment methods often fall short, failing to replicate the complexities of modern mobile development.

Introducing a New Era in Mobile Assessment

At HackerEarth, we're closing this critical gap with two groundbreaking features, seamlessly integrated into our Full Stack IDE:

Article content

Now, assess mobile developers in their true native environment. Our enhanced Full Stack questions now offer full support for both Java and Kotlin, the core languages powering the Android ecosystem. This allows you to evaluate candidates on authentic, real-world app development skills, moving beyond theoretical knowledge to practical application.

Article content

Say goodbye to setup drama and tool-switching. Candidates can now build, test, and debug Android and React Native applications directly within the browser-based IDE. This seamless, in-browser experience provides a true-to-life evaluation, saving valuable time for both candidates and your hiring team.

Assess the Skills That Truly Matter

With native Android support, your assessments can now delve into a candidate's ability to write clean, efficient, and functional code in the languages professional developers use daily. Kotlin's rapid adoption makes proficiency in it a key indicator of a forward-thinking candidate ready for modern mobile development.

Breakup of Mobile development skills ~95% of mobile app dev happens through Java and Kotlin
This chart illustrates the importance of assessing proficiency in both modern (Kotlin) and established (Java) codebases.

Streamlining Your Assessment Workflow

The integrated mobile emulator fundamentally transforms the assessment process. By eliminating the friction of fragmented toolchains and complex local setups, we enable a faster, more effective evaluation and a superior candidate experience.

Old Fragmented Way vs. The New, Integrated Way
Visualize the stark difference: Our streamlined workflow removes technical hurdles, allowing candidates to focus purely on demonstrating their coding and problem-solving abilities.

Quantifiable Impact on Hiring Success

A seamless and authentic assessment environment isn't just a convenience, it's a powerful catalyst for efficiency and better hiring outcomes. By removing technical barriers, candidates can focus entirely on demonstrating their skills, leading to faster submissions and higher-quality signals for your recruiters and hiring managers.

A Better Experience for Everyone

Our new features are meticulously designed to benefit the entire hiring ecosystem:

For Recruiters & Hiring Managers:

  • Accurately assess real-world development skills.
  • Gain deeper insights into candidate proficiency.
  • Hire with greater confidence and speed.
  • Reduce candidate drop-off from technical friction.

For Candidates:

  • Enjoy a seamless, efficient assessment experience.
  • No need to switch between different tools or manage complex setups.
  • Focus purely on showcasing skills, not environment configurations.
  • Work in a powerful, professional-grade IDE.

Unlock a New Era of Mobile Talent Assessment

Stop guessing and start hiring the best mobile developers with confidence. Explore how HackerEarth can transform your tech recruiting.

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

Vibe Coding Difference

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 or Hostinger Horizons 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.​

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