Home
/
Blog
/
AI Recruiting
/
Complete Coding Assessment Guide - Definition, Advantages, and Best Practices

Complete Coding Assessment Guide - Definition, Advantages, and Best Practices

Author
Kumari Trishya
Calendar Icon
January 28, 2022
Timer Icon
6 min read
Share

Finding the right talent to fill a vacancy always poses a unique set of challenges. Most hiring processes and coding assessments, while having their advantages, are inherently flawed. There are many talented individuals who may never receive the right opportunity. Conversely, there are also many job posts that are filled with people that are unsuitable for the role.

Resumes can’t always be trusted, which is why it is important to have interviews and assessments. This way, you can accurately gauge the level of skill and expertise possessed by a potential candidate for hire.

When it comes to the technical hiring process, the importance of a coding assessment cannot be understated. Coding assessments are a way of evaluating the technical talent of an individual. The challenge of how to test coding skills needs to be solved as it can negatively impact the entire hiring process if it’s not set up correctly.

What is a coding assessment?

A coding assessment is a structured evaluation process where individuals are tested on their programming skills and problem-solving capabilities. It typically comprises coding challenges, algorithms, and real-world problem scenarios that aim to gauge the candidate’s proficiency in writing, analyzing, and debugging code.

These assessments are prevalent in technical hiring processes, where companies aim to measure the competence of prospective candidates in specific programming languages or tools, and in education settings where students’ understanding of coding concepts is evaluated.

In essence, coding assessments provide a more objective means of evaluating technical talent. Rather than relying solely on a candidate’s credentials or self-reported skills, recruiters and educators can gain a firsthand view of their actual coding prowess.

How to conduct a successful coding assessment

Be concise – It is impossible to test every area of a candidate’s knowledge of coding. This means that employers must prioritize certain skills and knowledge over others to arrive at an accurate assessment. High-level candidates are aware that they have plenty of opportunities, which is why they typically do not concern themselves with taking lengthy assessments.

Maintain objectivity – Creating an in-house coding assessment platform is something that many companies that are hiring, are willing to do. It is a common practice to design a custom coding assessment process that can’t even be solved by members of the hiring team! Custom coding assessments generally create more problems than solutions.

Narrow it down – When conducting a general coding assessment, ask yourself whether algorithmic knowledge is really required for a given role. If yes, can you measure the extent of knowledge that is required for the job? Also, try to understand the demographic that you are trying to target. Is it an industry-experienced coder you need, or a graduate fresh out of college? Answering these questions will give you a broad view of the qualities you want in a candidate.

Cover a range of topics – The tech stack required for any role keeps morphing constantly. Coding assessment platforms should cover new and pre-existing programming languages, advent in technology, and skill requirements to tackle the modern coding battlefield.

Avoid time sinks – Most candidates will not have a huge chunk of time to spend on coding assessments. This is why it is better to use assessments that can be completed within an hour. It is also beneficial to frame direct questions so that candidates can focus on how to answer them, as opposed to spending too much time deconstructing what the question implies.

Coding Assessment Platform Benefits - HackerEarth

Benefits of selecting candidates based on coding assessments

Optimal use of organizational resources – The recruitment process in any industry generally proves to be lengthy and arduous. This is because of the numerous steps procedures to be followed, as well as the fact that at the end of it all, landing the perfect candidate isn’t a given. Using the right technical screening tools can help you reduce the burden on your workforce by creating a more efficient recruitment process.

Retention of skilled individuals – Employees that possess a highly specialized skill set are aware that there is no lack of opportunities for them. A well-constructed coding assessment platform ensures that the skills of a potential candidate are noticed early on. Based on this assessment, recruiters can accurately gauge the right compensation and incentives for the role.

Scientific hiring process – Coding assessment practices ensure that the selection you make is based on hard facts and data. This means that there is a proper, structured method of finding the right talent by doing away with haphazard methods that do not paint an accurate picture.

Unbiased selection – It is all too common for managers and employers to select candidates based on favorable interactions, smooth communication, and shared interests. Unfortunately, this can lead to organizations choosing the wrong individuals to fill vacancies, as the selection is done solely based on the positivity of interaction between employer and candidate, and not much else. Coding skills assessments go a long way in aiding companies to make better choices when it comes to handling their hiring processes. It is essential that organizations select the right coding assessment platforms.

Quotes from developers on coding assessments

Choosing a coding assessment platform—What should you look for?

Diverse question library: A rich set of questions spanning various difficulty levels and categories ensures that you can tailor assessments to the specific skills you’re looking to evaluate.

Customization: The tool should allow you to create custom challenges that reflect real-world scenarios relevant to your industry or specific job role. On HackerEarth Assessments, engineering managers can add their own custom questions in the tests to make the process realistic and relevant to their industry.

Automated code evaluation: Immediate feedback is vital. Choose tools that can automatically evaluate code for correctness and efficiency, delivering instant results. On HackerEarth, for instance, the code submissions are automatically evaluated by our AI-driven engine and the results are benchmarked against previous submissions. This helps interviewers shortlist candidates easily and provide necessary feedback on their performance.

Plagiarism detection: Ensure the tool has robust plagiarism-checking features to maintain the integrity of the assessment. With the advent of ChatGPT, companies also have to look out for candidates using AI tools for answering test questions. HackerEarth Assessments has a new feature called Smart Browser which prevents this from occurring.

IDE (Integrated Development Environment) Features: An intuitive IDE with features like code auto-completion, syntax highlighting, and error prompts can enhance the candidateexperience. Most coders use an IDE to create code on a daily basis and are familiar with it. Providing the same during and assessments puts them at ease, and allows them a fair shot at the test.

Multi-language support: Given the diverse range of programming languages, it’s essential that the tool supports assessing candidates in multiple languages.

Reporting and analytics: Comprehensive reports detailing candidate performance, areas of strength, and areas needing improvement can be invaluable for making informed decisions.

Scalability: If you’re assessing large numbers of candidates simultaneously, the tool should be able to handle the load without any glitches or slowdowns.

Integration capabilities: A good coding assessment tool should seamlessly integrate with your existing HRM (Human Resource Management) or LMS (Learning Management System) solutions.

Security: Ensure the tool maintains high standards of data privacy and security, adhering to relevant regulations and best practices.

Mobile compatibility: In today’s digital age, many candidates may opt to take assessments on mobile devices. Ensure the tool offers a smooth mobile experience.

Customer support: Reliable customer support can be a lifesaver, especially when dealing with technical issues or requiring guidance on best practices. HackerEarth offers 24*7 support across all geographies so that recruiting teams can hire faster and easier.

How to Create the perfect coding assessments with HackerEarth

HackerEarth is an online coding assessment platform and technical screening tool that allows organizations to design specific tests and evaluate candidates to find the right individuals to employ.

These reasons set HackerEarth apart from its competitors:

  • Versatility – Create customized tests in just a few minutes
  • Wide reach – Scale the hiring process over a large region by enabling multiple recruiters to hire candidates
  • Futuristic – Automate the evaluation process to screen for the best candidates
  • Economical – Reduce the burden on the organization by bringing down manual effort and repetition
  • Scientific – Create reports on the performance of candidates for further analysis and evaluation
  • Diversity – Design and implement assessments using over 35 programming languages

Streamline your recruitment process with HackerEarth

HackerEarth enables recruitment teams to streamline their processes, thus bringing down turnaround rates drastically. Performance reports further allow recruitment teams to break down and analyze micro-details, such as the time in which the assessment was completed, replaying the keystrokes used while coding, and so much more. Organizations that use HackerEarth as a coding assessment platform observe a marked rise in the quality of candidates ready for hire. The interview-to-hire ratio was drastically improved in these cases.

Why choose HackerEarth?

HackerEarth has one of the largest databases of questions to choose from when it comes to designing coding skills assessments. The platform also supports international languages making it easier for recruiters to hire across geographies

Additionally, HackerEarth secures the privacy of candidates by masking personally identifiable information in video interviews. Going by these features, it is easy to see why HackerEarth is one of the most highly-rated and trusted coding assessment platforms on the market today. Get in touch with us to learn more.

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Kumari Trishya
Calendar Icon
January 28, 2022
Timer Icon
6 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

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

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo