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9 steps to write a detailed employee handbook

9 steps to write a detailed employee handbook

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Arpit Mishra
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February 22, 2018
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3 min read
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An employee handbook, as the name suggests, is a handy communication tool that informs and creates awareness about an organization’s guidelines and policies and gives insight into the company’s vision and culture.

Since Indian labor and employment laws are considered to be one of the most complex ones in the world, most companies use an employee handbook as a convenient measure to ensure compliance with these laws.

While most organizations opt for the tried-and-tested-route when it comes to drafting an employee handbook, some companies breathe inspiration and creativity into theirs.

A poorly drafted employee handbook is also said to be an effective sedative in the treatment of insomnia (right alongside my 9th-grade history textbook)!

So, let us focus on how not to create such a potent draught and instead try and make it an effective and beneficial communication tool!

9 steps to write a detailed employee handbook –

1. The disclaimer

A disclaimer is what defines the nature of the employee handbook and should at the very outset state that the employee handbook is not a contract of employment.

Not including this critical point in the handbook could leave your organization vulnerable to lawsuits by terminated employees.

2. Introduction and a welcome note

Most employee handbooks start with the customary “introduction and welcome note” that introduces employees to the company’s principles, goals, and core values.

An important point to remember while drafting this is to avoid figurative language, for instance, referring to the organization as a family, as it could imply indefinite employment!

Instead, provide them with a general overview of the work environment and hierarchy.

Another critical point to include is regarding the at-will employment relationship which states that the employee can be terminated at will anytime with or without notice by the employer or employee.

Valve, a gaming software company’s employee handbookis an excellent example of one that communicates its work culture, a brief description of how it started and its lack of hierarchy in an upbeat, empathetic yet effective manner.

This ensures an effective communication of what the employee can expect from the company and its management and what is expected of them.

3. Company’s mission statement

A successful business is one where all its employees are aligned with the company’s vision and goals and work toward bringing the same to fruition.

The first step toward this is to state in lucid terms what these goals are so that it imparts a sense of purpose and duty to the employee.

Brimming with personality and written in a conversational style is the much talked about handbook of Disqus, an online blog comment hosting service company.

The Disqus handbook covers everything from the mission statement, product overview, and milestones to their favorite phrases and life at Disqus, and all done in an engaging and lighthearted manner.

4. Sexual harassment and anti-discrimination policies

It is important to expressly state in your handbook your company’s zero-tolerance policy toward harassment or discrimination of any kind.

It is advisable to take professional legal advice while drafting this section since it requires you to define harassment in the workplace and how to identify it.

The employee must also be made aware of the contact details of the person to whom such an incident can be reported.

The Infosys employee handbookhas a detailed section dedicated to its harassment and discriminatory policies where they appeal to everyone to respect each other to create a safe workplace.

5. Leave policies

Most companies these days are quite accommodating of their employees’ leave requirements.

Whether you have a strict policy regarding it or are more relaxed when it comes to your employees taking time off, clearly mention the kinds of leave permissible such as vacations, sick days, maternity leave, etc.

Do not neglect to disclose any restrictions on leaves of absence such as termination of employment or revoking of employee benefits due to excessive time off.

It is important to mention a timeframe within which employees can apply for vacation or other leaves.

Motley Fool’shas a rather straightforward “take what you need” attitude with regard to its vacation policy as clearly mentioned in their handbook.

6. Disciplinary policies

A company’s employee handbook is a valuable document not only when it comes to introducing the employee to the organization’s work culture and important policies, but also as a deterrent to inappropriate and unprofessional behavior.

Clearly define what constitutes employee misconduct while explaining the consequences of such actions. It has to be made clear, however, that inappropriate actions/behavior would be judged on a case-by-case basis by the organization.

The language used in explaining such sensitive topics must never be threatening as that would lead the employees to be in a constant state of fear of being disproportionately punished.

An important point to be included under this section is a disclaimer that states “or any other behavior proven to be detrimental and harmful to the company” so that the misconduct mentioned are not limited to only the ones listed.

7. Social networking and blogging

With social media pervading our everyday lives, it is crucial to specify what the organization’s policies are regarding accessing social media account while at work.

If this is strictly prohibited, then mention that in the handbook along with the disciplinary action that accompanies such insubordination.

There should be strict rules regarding posting of confidential or proprietary company information and photos of colleagues taken at the workplace.

8. Employee benefits

Most organizations go on to give descriptions of employee benefits that they offer and this could include information related to health insurance, company retirement plans, compensation, disability coverage to name a few. It is not recommended, however, to give a detailed account of the benefits, since most companies typically have separate benefits plans that explain these in greater detail.

All that is needed here is a brief description of the benefits offered and eligibility criteria along with contact information.

Some companies offer stock options as a way to motivate their employees and it is proven to be quite an effective way to cultivate a sense of ownership toward the company’s success. states it thus, “Every Fool is an owner of The Motley Fool. Shortly after joining the Fool, you’ll be granted shares in the company. There are also periodic opportunities for Fools to buy more shares or sell what they own.”

It is crucial to include a disclaimer in this section in the event of any inconsistencies between the handbook and any oral or written document describing the plans and benefits offered by the company.

It is advisable to ensure that the handbook’s description of benefit plans aligns with the company’s formal plan documents.

9. Termination policies

This section pertains to policies regarding voluntary termination of employment.

Depending on your organization’s policies, clearly, state the period of advance notice that the employee is expected to provide before terminating his employment.

Provide information, although brief regarding your company’s termination policies including final paychecks, what employees need to do, whether there would be an exit interview etc.

While some organizations include this under the companies policy section, others draft this as a separate section in their handbook.

A few tips to consider before writing an Employee Handbook

An employee handbook is a living document and not something that is to be written and then forgotten soon after. It needs to be updated frequently, reviewed and personalized per your company’s policies and values.

Avoid making your handbook bulky and unmanageable. With most companies going digital with their handbook, it is even more of a necessity to make it a light yet effective read.

Most handbooks come with a signed acknowledgment form which the employee is expected to sign. Failing to do so will not provide any ‘legal protection benefits’ in the event of a lawsuit by the employee.

The above-mentioned points should help guide you in the right direction while drafting your own employee handbook.

Whether you choose to take the more conservative approach to draft it or allow creativity to guide you down that path, keep in mind that a handbook is essentially a document that communicates to a new employee what you expect from him/her and what he/she can expect in return from you.

Your language and design should reflect this in as clear a way as possible. It is also advisable to seek legal counsel to ensure there are no legal loopholes that can be exploited before publishing it in print or online.

While your team works toward creating a great employee handbook, it is important to ensure that you hire the right candidate for your company.

With growing technology, sourcing candidate is not a major issue. For every opening, you receive thousands of application.

What is important is to assess these candidates based on their skills, without being biased.

Using Talent Assessment software like HackerEarth not only helps you scale your hiring process by evaluating thousands of candidate with a single click, it also shares a detailed comparison report of candidates. Giving a detailed report, before you interview a candidate.

So make sure only the right candidate reads your Employee Handbook, while you put so much effort into it. Use a Talent Assessment Software.

Talent Acquisition strategy, talents, talent assessment, skill based assessment, assessing skills, assessment, talent assessment software, hiring developer, how to hire, best way to hire, Write Employee Handbook

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Arpit Mishra
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February 22, 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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