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4 Essential Mistakes To Avoid During Pair Programming Interviews

4 Essential Mistakes To Avoid During Pair Programming Interviews

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Kumari Trishya
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November 3, 2021
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7 min read
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We at HackerEarth love pair programming. Before you call out for being biased though, hear us out. Over the years we have spent perfecting our interview platform FaceCode, we have heard from many hiring managers that using a pair programming interview tool is one of the best ways to assess a candidate’s coding abilities in real time.

Let’s look at what these managers have told us:

  • With modern pair programming interview tools, employers must be well-informed about the coders’ unique skills set, ability to collaborate, solve problems, and strong analytical thinking
  • Interviewers must be able to deduce the coders’ agility in coding, the complexity of the code used, proficiency in using features such as CodeEditor, auto-suggest, and much more
  • A modern interview approach must evaluate how well coders handle ambiguity. It must highlight their attitude toward the challenge and aptitude for learning
  • The interviewer learns about the interviewee’s skills and personality, while the interviewee learns about whom they will be working with and what a typical workday looks like

What is pair programming?

Pair programming is a collaborative coding technique where two programmers work together at one workstation. One, the “driver,” writes code while the other, the “navigator,” reviews each line of code as it is typed in. The roles switch frequently to keep both partners engaged. This approach not only improves code quality by facilitating immediate feedback and error correction but also enhances learning and knowledge sharing between the pair. It’s particularly effective in tackling complex problems and learning new technologies. Companies often use pair programming to foster a collaborative environment and develop a more cohesive team dynamic, ultimately leading to more robust and error-free software.

What is a pair programming interview?

A pair programming interview is a style of interviewing candidates where the interviewer and candidate share a coding platform to solve a programming problem together. With pair programming, you can test 3 skills in developers: problem-solving, teamwork, and communication skills.

It can be a great way to identify talented developers. That’s not to say pair programming interviews (a.k.a pair coding interviews) can not go wrong.

Pair Programming_ Tips
Source: ASCIIville

DISCLAIMER: No known coders have been harmed during pair programming interviews. Also, breath mints are just good to carry along for any scenario. Just saying.

***

Laughs aside, the main reason why pair programming interviews go south is that the rules of engagement are not specified; or followed. As a wise man said, a football game without rules is just a brawl. So, let’s list down some of the oft-repeated mistakes in a pair coding interview and how one can avoid them.

Pair Programming Interview Mistakes

Mistake 1: Not agreeing on rules beforehand

Pair programming has a simple structure. There’s a DRIVER and a NAVIGATOR. Simply put, the driver writes code while the other, the observer or navigator, reviews each line of code as it is typed in.

There are many ways this driver-navigator relationship can work:

  • Ping-Pong pairing: In this Developer A starts the process by writing a failing test or the ‘PING’. Developer B then writes the implementation to make it pass i.e. the ‘PONG’. Each set is then followed by refactoring the code together.
  • Strong-style pairing: In this, the navigator is usually the person who has more experience with the setup or task at hand, while the driver has lesser experience (with the language, the tool, the codebase, or because they are fresh out of college). The experienced person usually ends up being in the navigator role and guides the driver.
  • Pair development: Pair development is not a ‘style’ of pair programming per se. It’s more of a methodology. While the above two styles can be used for developing code in real time, pair development can be used to create a user story or feature. This goes beyond just coding and allows the pair to handle many different tasks as a team.

So, before you invite a candidate over for a code pair interview, ensure you know which style you are going to use and lay down the rules clearly. If you are switching roles between driver and navigator, make sure that the rules of discussion and expectations are clear from the get-go.

Mistake 2: Lack of proper conflict resolution mechanisms

It is important to settle conflicts well as a pair, and one way of doing it is to agree at the outset on which role has the final say. Between the driver and the navigator, one role needs to have the ‘casting vote’.

That said, this mechanism should not deter either of the pair from asking questions, or raising red flags. The goal of the pair programming role is to provide the candidate with something close to a ‘real-world experience’, i.e. they work on actual problems that your team solves in their workday. At the same time, the interviewer gets a first-hand glimpse at the candidate’s problem solving skills, and ability to collaborate.

Don’t forget this in an attempt to be ‘right’ during your pair programming routine. Agreeing to a mutually suitable arrangement at the outset aligns expectations and provides a fairly straightforward method of conflict resolution.

Mistake 3: Thinking there is just one ‘right’ answer

There are 11287398173 ways to write FizzBuzz. Remember this when you are in the middle of your next pair programming interview.

As interviewers, a very easy mistake to make is to believe that there is just one right way to approach a problem. Experienced hiring managers know that while it is perfectly alright to usually have an answer in mind to a given question, it is also important to listen and see what the interviewee’s answer is.

Most of the time, you’ll find that the candidate’s approach is different from yours. If you keep an open mind, you might even be surprised by their creativity! Rigidity in thought is a no-no for any interviewer; this typically demonstrates that they are not open to new ideas and only serves to alienate candidates.

This is also important for interviewees. Many times, candidates get trapped in the rabbit hole of ‘pleasing’ the interviewer. They look for solutions that they think will appease the interviewer. It is important to be aware of this behavior. Use the opportunity to showcase your skill-set, instead of behaving like a mind reader and trying to say and do things that will impress the manager. Ask clarifying questions, understand the boundary conditions or the corner cases, and then do your own thing!

Mistake 4: Not communicating enough

Okay, we get it. Not everyone likes chatter when they are coding. Some coders like music, others like radio silence.

The whole purpose of a pair-programming interview is to communicate. Let’s rephrase that a bit. The sole purpose of a pair-programming interview is to communicate effectively with your partner and build something collaboratively.

Interviewers need to set the tone here. Please tell your candidates clearly what kind of communication you expect from them. Do you want them to finish their coding and then walk you through their code, or do you want a play-by-play commentary? While doing so, please be cognizant of the fact that you do not come across as intimidating, and allow the candidate the flexibility to understand and solve the problem in their own time and space.

Interviewees would do better to ditch the YOLO approach on this one and use the session to show their planning and communication skills.

pair-programming-tips
Source: Google

Benefits of pair programming interviews

Pair programming interviews offer a number of benefits to both employers and candidates.

Benefits for employers:

Assess real-time problem-solving skills: Pair programming interviews allow employers to see how candidates approach and solve problems in a real-time setting. This is much more informative than traditional whiteboard interviews, which can be more artificial and less indicative of a candidate’s actual coding skills.

Evaluate communication and teamwork skills: Pair programming interviews also allow employers to evaluate candidates’ communication and teamwork skills. This is important because tech workers often need to be able to work effectively with others on complex projects.

Identify potential culture fits: Pair programming interviews can also help employers to identify potential culture fits. By observing how candidates interact with each other and with the interviewer, employers can get a better sense of whether candidates would be a good fit for the company culture.

Benefits for candidates:

More skill-oriented process: Pair programming interviews give candidates a more realistic opportunity to demonstrate their skills. Candidates are able to work with the interviewer to solve a problem, and they are able to ask questions and get feedback as they go. This can help candidates to perform better than they might in a traditional whiteboard interview.

Better understanding of the company culture: Pair programming interviews also give candidates a better understanding of the company culture. By interacting with the interviewer and seeing how the interviewer works, candidates can get a sense of how the company values collaboration and teamwork.

Opportunity to network with potential colleagues: Pair programming interviews can also be an opportunity for candidates to network with potential colleagues. By working with the interviewer, candidates can learn more about the company’s projects and technologies. Candidates can also make a good impression on the interviewer and other potential colleagues.

Tips to conduct a pair programming interview

Ensuring your pair programming interviews are effective requires a balanced approach:

Set clear expectations: Before the session, clearly communicate the objectives, tools to be used, and the problem’s scope.

Use real-world scenarios: Instead of abstract problems, use challenges that reflect real tasks your team faces. This provides valuable insights into the candidate’s practical skills.

Ensure role clarity: Specify who is the “driver” (the one writing the code) and the “observer” (the one reviewing and suggesting) and switch roles midway to ensure a balanced assessment.

Prepare a list of pair programming interview questions: Create a list of pair programming interview questions to check the candidate’s ability to design code

Maintain respectful communication: Encourage open dialogue. The candidate should feel comfortable asking questions, suggesting alternatives, or admitting when they don’t know something.

Embrace silence: Allow the candidate to think. Not every moment needs to be filled with talk.

Provide tools and documentation: Ensure the candidate has access to necessary tools and can refer to documentation if needed. This mirrors real-world conditions.

Focus on the Journey, NOT just the Solution: Remember, the goal is to understand how the candidate thinks and collaborates. A perfect solution isn’t the only indicator of a good fit.

Conclude with feedback: Dedicate the last few minutes to provide feedback. Highlight what went well and areas of improvement. This can be incredibly valuable for both the candidate and your company’s reputation.

When done right, pair programming can yield awesome results!

These are just some of the things we have learned from our discussions with hiring managers and candidates. We hope that they help you in your next interview. Another important aspect of a good pair programming interview is using the right tool, and HackerEarth’s FaceCode can help you with that. The key to having a good technical code pair interview is creating a familiar environment for the candidates, so they can relax and focus on the task at hand. FaceCode, with its built-in code editor and easy-to-access question library, allows you to do that easily.

We hope you ace your next pair programming interview – whether you are an interviewer or a candidate. Good luck!

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Author
Kumari Trishya
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November 3, 2021
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7 min read
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A New Era of Code

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The Promise and the Pitfalls

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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

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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

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

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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

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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.

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

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

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

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

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

Cheating in Online Assessments is a High Stakes Problem



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



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

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

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

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

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

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

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


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

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

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


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

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

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


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

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

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

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

Future-proof Your Online Assessments With HackerEarth

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