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6 Keys to Workplace Success & How HR Can Support

6 Keys to Workplace Success & How HR Can Support

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Nikola Tore
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February 12, 2018
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3 min read
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“Success is dependent on effort” – Sophocles

Two variables, one relationship. The more effort you put, the more successful you will be.

This is what Sophocles, one of the three ancient Greek tragedians, said. He believed that people control their own success.

In real life, of course, success is an objective term and different people define it in different ways.

Moreover, external factors which can affect this relationship may occur and success may be delayed.

These factors may include unexpected events or miscalculated risks which have the power to prevent people from reaching their goals.

In this blog, I discuss 6 key points to success for employees to help people secure their trip toward successand help HR professionals realize how improving their employee value proposition (EVP) can help people become more successful while impacting the company’s overall performance positively.

Create a “blurry” vision

Everyone talks about how critical it is to “know what you want” in order to succeed, but no one talks about how you can get there.

How do you make it clear to yourself what you want? “If you love what you do, you will succeed,” they say, but how do you define what makes you happy by doing it?

Well, to answer all these questions you need first to try and fail; and then try again and fail again, and maybe also try something else.

You need to keep an open mind!

In high school, I used to participate in different math-based inter-school competitions, and I always won.

Years in a row, I was first in the city I represented and that made me think that my future should be related to numbers.

Honestly, I enjoyed the numbers, but at the same time I enjoyed helping people, and I hated listening to stories where people were not treated well by their employers.

In the final year of school though, I had a great experience involving consultancy meetings, managing people, and hiring people for a purpose, and this experience made me realize that as much as I enjoy numbers, I enjoy people-related projects at least twice as much.

It was then I decided to focus on HR. I had a blurry vision of my future, but trying different things actually helped me realize what matters to me.

Now, creating a “blurry” vision of success as a first step is not a bad thing. It gives you the opportunity to make mistakes and try new things.

Wanting to succeed in two or three things instead of one means that you do not have to stick with the one thing even if you are good at it; if you do not really enjoy it, then at some point, you get bored of it.

Instead, you have the opportunity to try something else which is still within your “blurry” vision. Therefore, do not be afraid of having a blurry vision when starting your career.

Have several goals and try to figure out which one most fits your needs and ambitions. Explore what makes you perform with a purpose.

Set short-term goals for success and always keep your bigger goal in mind

If you only set long-term goals, you will likely get tired of putting so much effort and not seeing any results yet.

On the other hand, by setting short-term goals you get the opportunity to celebrate your achievements every once in a while, thus keeping yourself motivated to continue your efforts for your bigger long-term goal.

Achieving something every now and then makes you feel you are on the right path; it makes you believe you can achieve even more.

To help you with the goal-setting process, Edwin Locke suggests that your goals need to be “SMART”:

Specific – After your blurry vision helps you decide what matters to you and what makes you happy, it is time to set specific/clear goals to know what you are working for.

Measurable – Your goals must allow you to demonstrate and measure the results to decide which behaviors you need to reward

Attainable – You need goals which are achievable. Unachievable goals will only bring you disappointment. You will not meet your own expectations. Therefore, make sure you know what you are capable of. Be honest with yourself.

Realistic/Relevant – You need to ensure that your goal is realistic, within your reach, consistent with other established goals, relevant to your life purpose, and fits in with immediate and long-term plans. Are you willing to commit to your goal

Timebound – Your goals must have a defined time frame which includes a start date and an end date, otherwise, there is no sense of urgency to start working toward your goals.

Communicate; build a reliable network

Networking is free, most of the time. It gives you the opportunity to meet like-minded people and people who come from different backgrounds.

From both groups, you have a lot to learn. Like-minded people can probably help you with advice and stories on how to reach similar goals, and people with a different mindset will most probably help you become aware of the threats and risks involved in your decisions.

This can help you avoid mistakes and protect your efforts toward meeting your goals.

Networking is a great way to market yourself, and it can always lead to future opportunities for both parties.

As some people say, “your net worth is only as good as your network.”

Be your own evaluator

Most companies have yearly appraisal programs to evaluate their employees. In this kind of appraisal, employees get evaluated by their manager for their performance during the year they left behind.

Based on this evaluation, together with their manager, employees set goals for the next year.

It is a good way to keep personal and team goals aligned with the company’s bigger goals and to identify what kind of value each employee can add to the company.

But is it enough for you as a person to identify your strengths and your points that you need to improve?

Of course not!

You should not wait for this yearly evaluation to tell yourself what you are doing right and what you are doing wrong.

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Take time yourself every week or even every day and think about what have you done, what have you achieved, and what you would change with regard to a particular behavior or situation to have achieved better results.

You need to be your own evaluator and not wait for others to assess your performance. Being your own evaluator also helps you to build stronger self-efficacy.

You will be able to identify those types of behaviors that you need to keep and those that you need to change, minimize, or eliminate.

Be passionate

It is critical to loving what you choose to do. Being committed and enthusiastic when performing something help you become more motivated.

David Lucatch, the CEO of Yapnn Corp., believes that “a person with a passion typically exudes confidence, and confidence creates value for themselves and others by leading the way, not showing the way.

Passion helps you also create enthusiasm, and as Michael Virardi says, enthusiasm comes from a Greek word “en-theos,” which means “the god from within.

Find your god. If you are passionate about what you do, then you have found what makes you feel fulfilled.

“When you know what you want, and want it bad enough, you will find a way to get it.” –Jim Rohn

Find a healthy work-life balance

To become successful you first need to find a way to improve your productivity.

Productivity is defined as a measure of the efficiency of a person, machine, systems, etc. in converting inputs into useful outputs. Output, in this case, will be the level of success in achieving the goals you have set.

On the other hand, the input will consist of the efforts, energy, the time you spent, and all the other resources you used to achieve your goals.

Thus, it is very important to master your time-management skills. It is necessary to also find the time you need to spend with your loved ones.

Food, sleep, mindfulness, and exercising are important factors which, if managed properly, could help you increase your productivity and thereby chances of success.

(To read more on how people wellness affects productivity, go here.)

How does the need that people have to become successful affect HR and Talent Acquisition?

The role of HR within an organization should be to ensure that employees have the necessary knowledge, skills, practices, processes, learning opportunities, development opportunities, support, benefits, and freedom which will allow them to perform at their best potential, aiming to achieve their personal, team and organizational goals while having as a motivation organization’s overall vision and mission.

Whereas, Talent Acquisition’s team goal is to ensure that the company has and will attract the best talent available for each existing or future role.

Knowing that people like to feel and become successful, HR and Talent Acquisition (TA) should adopt a more strategic perspective and help their employees in their efforts.

Here a few tips on how HR and TA can achieve that:

    1. Build a company culture which promotes values such as individuality, eagerness to learn, job enrichment opportunities, initiative, and creativity. Allow employees to take on new projects which will help them identify their best fit in terms of skills or character.
    1. Celebrate short-term goals and quick achievements. Thus, you will help your employees feel proud of their efforts and their self-efficacy will increase.
    1. Organize cross-functional meetings and events which will allow your people to meet more people from other departments and functions and therefore build a bigger personal and professional network. It benefits both the business and employees by making knowledge sharing easier.
    1. Provide your people with clear communication about the bigger goal and the organization's vision and mission. Make them perform with a purpose.
    1. Implement different programs which allow your people to build a healthy work-life balance. Provide them with the opportunity to enjoy their time outside the company and at work by offering benefits that help to avoid burnout.
  1. Include all the aforementioned in the Employee Value Proposition (EVP) package you communicate to candidates while assessing them for a specific position.
Think smarter and help your employees succeed. It helps your organization to succeed as well.

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Nikola Tore
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February 12, 2018
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3 min read
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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.​

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

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