What is Pair Programming? A Complete Beginner’s Guide to Agile Coding Collaboration

Ever wished you had a buddy next to you when coding, to help solve a tricky bug or brainstorm a solution?
That’s essentially the idea behind pair programming.
In a nutshell, pair programming is a collaborative programming technique where two developers work together at one workstation.
Typically, one person is the “driver” who writes the code, and the other is the “observer” or “navigator” who reviews each line as it’s typed and thinks about the bigger picture. The two programmers swap roles frequently so both stay engaged and contribute.
In this guide, we’ll explain what pair programming is, how to do pair programming effectively, the benefits it offers, common challenges (and how to overcome them), comparisons with other coding methods, and tips to get started.
By the end, you’ll see why the mantra “two heads are better than one” often rings true in software development!
What is Pair Programming
Pair programming is a collaborative software development technique where two programmers work together on the same task at a single workstation.
One person, known as the Driver, writes the code, while the other, called the Navigator, reviews each line as it’s written, provides feedback, and thinks strategically about the overall approach.
The two programmers frequently switch roles to stay engaged and ensure both contribute equally.
This technique originated as part of Extreme Programming (XP), a methodology within the Agile framework that emphasizes collaboration, rapid feedback, and continuous improvement.
The idea is simple: two minds are better than one—by working together, developers can write cleaner, more efficient code with fewer bugs.
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Key Aspects of Pair Programming:
- Driver and Navigator Roles: The driver types the code while the navigator reviews it and offers guidance.
- Frequent Role Switching: Programmers swap roles every 15-30 minutes or when completing logical chunks of work.
- Real-time Code Review: Code is continuously reviewed as it’s written, reducing errors and improving quality.
- Collaborative Problem-Solving: Two people tackling a problem together often leads to more efficient solutions.
Pair programming is widely used in Agile teams, especially for complex problem-solving, mentoring junior developers, and improving code quality. It promotes knowledge sharing, faster debugging, and a higher level of team collaboration, making it a valuable technique for both beginners and experienced developers.
History of Pair Programming
While pair programming gained fame in the late 1990s as a core practice of Extreme Programming (XP) introduced by Kent Beck (one of the pioneers of Agile methods), the concept of two minds on one problem isn’t new.
In fact, one of the earliest computer programmers, Jean Bartik, recounted that she and her colleague worked as a pair on the ENIAC computer back in the 1940s – long before the term “pair programming” existed.
However, it wasn’t until the Agile movement and XP methodology that pairing became formalized as a development practice.
XP treated pair programming as one of its “twelve practices,” and from there it spread to other Agile teams as a proven way to improve software quality and team collaboration.
How Pair Programming Works
So, how do two people actually code together on a single task?
Let’s break down the mechanics of pair programming. At its core, it revolves around two distinct roles: the Driver and the Navigator.
Driver
The driver is the one at the keyboard (in the driver’s seat, literally “driving” the code). This person is responsible for typing the code and focusing on the current task at hand.
The driver tackles the “tactical” side of coding – writing the syntax, fixing immediate errors, and implementing the current step of the solution.
An important best practice for the driver is to think out loud while coding.
By verbalizing what you’re doing (“Now I’ll iterate through this list and filter out invalid values...”), you keep your partner in the loop and invite feedback in real time.
Navigator
The navigator is the partner sitting next to the driver, watching the code being written and providing guidance and review.
This role is more focused on the “strategic” direction.
The navigator continuously reviews each line of code as it appears, points out potential issues or bugs, and considers the broader implications.
They might ask questions, suggest different approaches, or remind the driver of the bigger goal (“Is this function handling all edge cases?”).
The navigator also thinks a few steps ahead – for example, noting ideas for improvements or future tasks that arise while coding.
Essentially, the navigator is a second set of eyes and a safety net, ensuring the team doesn’t go down a wrong path. It’s often said that the navigator is like the map-reader while the driver is steering the car.
Switching Roles Regularly
A key to pair coding best practices is that the driver and navigator should swap roles frequently. This could be every 15-30 minutes, or whenever a logical break in the task occurs.
Frequent switching prevents fatigue and keeps both people engaged. It ensures that each person gets to actively code and also step back to review, exercising both mindsets.
If one person stays driver too long, the navigator can start feeling disengaged (or vice versa).
By rotating, both partners share the keyboard time and the thinking time. It’s not only fair, but it also helps each catch details the other might miss.
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A Day in the Life of a Pair (Step-by-Step)
To illustrate how to do pair programming effectively, here’s a step-by-step scenario of what a productive pair programming session might look like:
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Plan the task together: Before coding, both developers discuss what they’re about to build. They make sure they have a reasonably well-defined task or goal. For example, “We need to add input validation for the email field.” They might outline a few sub-tasks or a test scenario. Agreeing on a small, concrete goal gives the pair a clear target to focus on.
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Set roles to start: The pair decides who will start as the Driver and who as the Navigator. (Often, if one person has more familiarity with the task, they might navigate first to guide the approach while the other drives and gets up to speed – but it can be arbitrary. You’ll be switching soon anyway!)
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Driver writes code for the first goal: The Driver starts coding the first part of the task. As they code, they explain their thought process aloud. For example, “I’ll write a function
isValidEmail
that uses a regex to check the format.” This running commentary keeps the Navigator synced. -
Navigator reviews and guides: The Navigator watches every line, looking out for mistakes or improvements. They might say things like, “Good idea. Maybe also check if the field is not empty before regex.” or “We should consider what happens if the input is null.” The Navigator ensures no obvious bug slips through and that the approach aligns with the bigger picture.
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Continuous communication: The pair constantly chats about the code. It’s a back-and-forth conversation – asking questions, discussing different solutions, and jointly deciding the next steps. If something is unclear, they pause to clarify. There’s no such thing as the driver coding silently while the other just watches; both are actively thinking and talking.
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Reach the goal and test: Once the small goal (e.g., the
isValidEmail
function) is written, the pair runs the code or tests it. They verify together that it works as expected. If bugs show up, two heads debug them, which usually goes faster than doing it solo. -
Switch roles: After completing one sub-task or after a set time, they swap roles. The previous Driver becomes the Navigator and vice versa. Now, the new Driver takes the keyboard to tackle the next part of the task (for example, integrating that validation function into the form workflow), while the new Navigator reviews and provides input. Because they planned the task together, the new Driver has context and the work continues smoothly. This role rotation might happen every half hour or whenever a logical chunk is done, to keep momentum and energy levels high.
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Repeat and iterate: The pair continues this cycle – pick the next tiny goal, code it out, review and discuss, test it, switch roles. They adjust their game plan as needed. Throughout, both contribute ideas. By the end of the session or workday, they’ve produced code together, with both brains having vetted it.
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Best Practices for Efficient Pairing
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Communicate constantly: Don’t hold thoughts back. Drivers should narrate their coding and ask for input; Navigators should question and suggest tactfully. It’s better to over-communicate than to have one person zoning out.
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Keep the scope small: Tackle one tiny goal at a time. It’s easier for both to stay focused and not get lost. This also gives natural points to switch roles.
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Be respectful and patient: You might disagree with your partner’s approach at times – that’s okay. Discuss differences in a respectful way. Remember that the goal is to improve the code, not to prove who’s right.
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Avoid the “backseat driver” syndrome: If you’re the Navigator, resist the urge to dictate every keystroke or jump in and grab the keyboard. Give the Driver space to think and type, even if you spot a minor mistake – you can point it out calmly or wait until they pause. Conversely, Drivers shouldn’t ignore the Navigator’s input. Both roles are important.
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Swap often: As noted, frequent role switching keeps energy high. It prevents one person from feeling like they’re doing all the work or from getting bored. It also forces each person to see the code from both perspectives.
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Use a single workstation effectively: If working side by side, ensure both can see the screen clearly (large monitor or dual monitors mirrored). If working remotely, use screen-sharing or collaborative coding tools so both see updates in real time.
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Take breaks if needed: Pairing can be intense. If you’ve been at it for a few hours straight and brains are fried, take a short break to recharge. Come back with fresh eyes.
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Have fun and learn: Pair programming is as much about learning and sharing knowledge as it is about writing code. Celebrate small wins together (yay, tests passed!) – it keeps the session positive.
Benefits of Pair Programming
Why bother pairing up when you could just code on your own?
Turns out, there are numerous benefits that teams have observed.
Here are some of the biggest advantages of pair programming:
Improved Code Quality (Fewer Bugs)
Two sets of eyes on the code means mistakes are caught early, often as soon as they’re made. The navigator can spot typos, logic errors, or missing test cases in real-time. This real-time code review leads to cleaner, more robust code with fewer defects.
Studies have found that while pair programming might use a bit more total effort, the resulting code typically has significantly fewer bugs and issues.
In industry, this can save a lot of time that would have been spent later on debugging or fixing issues in QA.
Any overhead from pairing is often “compensated by gains in code quality” down the road. In short, two heads can produce code with higher quality than one, because errors get caught before they ever leave the pair’s desk.
Faster Problem-Solving
Ever spent half a day stuck on a problem that another developer solved in five minutes by pointing out what you missed?
In pair programming, you have that advantage all the time.
With two people brainstorming, you can troubleshoot issues faster and find creative solutions more quickly. Together, pairs tend to “dig themselves out of rabbit holes faster” than an individual might.
The collaborative thinking often leads to better solutions too – you’re effectively doing a mini brainstorming session as you code. Each partner brings different experiences and viewpoints, so they might consider more alternatives than a solo programmer would.
Enhanced Learning and Mentorship
One of the greatest benefits of pair programming is the knowledge transfer that happens. It’s like an on-the-job training session.
A less-experienced developer pairing with a senior engineer can pick up a ton of tips – from coding style and best practices to debugging techniques and domain knowledge.
On the flip side, the experienced person can gain new perspectives too; teaching or explaining something often solidifies their understanding, and fresh eyes can question old assumptions. Pairing tends to spread knowledge across the team.
Instead of one person being the only one who knows a piece of code, both in the pair learn it.
Over time, as pairs rotate, this creates a more resilient team where knowledge isn’t siloed. Mentoring becomes a natural part of daily work – juniors ramp up faster, and even peer-to-peer learning happens between people of similar experience as they exchange ideas.
Increased Team Collaboration and Collective Ownership
Pair programming inherently boosts collaboration because it’s literally two people working together. This can improve team communication and cohesion beyond just the pair. People get used to discussing code openly and constructively.
Over time, this fosters a culture of collective code ownership – the idea that “this is our code, not my code.”
Since multiple people (pairs) have worked in various parts of the code, team members feel more responsible for the codebase as a whole, and less possessive about “my module.”
It also means if someone is out on vacation, there’s at least one other person who paired with them and has context.
Collaboration skills also improve; you learn how to communicate technical ideas clearly and how to listen.
Moreover, pair programming can build camaraderie. Solving problems together can be a bonding experience – you celebrate successes as a team of two. Many developers find programming in pairs more enjoyable than working alone, which can boost morale.
Higher Focus and Less Distraction
It might sound counter-intuitive at first, but working with a partner can actually reduce distractions and keep you more focused.
When you’re pairing, you’re less likely to randomly check social media or get sidetracked, because someone is sitting right there with you. There’s a mutual accountability – you both want to stay on task.
If one person’s mind starts wandering, the other can help bring the focus back. Pairs also tend to take fewer unnecessary breaks. The result is often a state of flow for longer periods.
Additionally, since the navigator is actively reviewing, you can’t really slack off; the immediacy keeps both programmers engaged fully in the task at hand, potentially making development time more efficient.
Shared Responsibility & Confidence
When two people author code, there’s naturally a built-in peer review and consensus. This can lead to more confidence in the code produced.
Each person has essentially audited the work. So you end up with code that both agree is the right approach. This shared responsibility means fewer single points of failure.
If something goes wrong, it’s not “John’s fault” or “Jane’s fault” – you tackled it together. This can create a more blameless culture where the focus is on fixing issues rather than pointing fingers.
Also, the team gains confidence to take on challenging tasks because no one is tackling tough problems entirely alone.
Newer team members feel more supported since they have a partner to fall back on.
Overall, pair programming often leads to a healthier, more collaborative team dynamic, which indirectly improves productivity and product quality.
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Challenges and How to Overcome Them
Pair programming sounds great, but it’s not always rainbows and sunshine. There are some common challenges teams face when pairing up. The good news is that most of these issues can be resolved with the right approaches.
Different Skill Levels
Often, pairs consist of one more experienced developer and one less experienced. The challenge here is the expert might dominate the session or go too fast, leaving the junior partner feeling lost or passive. This can be frustrating for both sides.
How to overcome:
Turn this into a mentorship opportunity.
If you’re the experienced one, resist the urge to take over the keyboard all the time.
Instead, let the less experienced developer drive frequently while you navigate and guide. Encourage them, and be patient if they make mistakes – remember that helping them learn now will benefit the team later.
Over time, the skill gap will shrink. Also, pair rotation helps – the junior can pair with different seniors to get broader exposure, and the senior can work with peers for more advanced tasks sometimes, so neither feels held back all the time.
Personality Clashes / Collaboration Issues
Pair programming is like teamwork under a microscope – you’re working very closely with someone.
If personalities clash or there are disagreements on coding style, it can become tense. Some people also prefer working alone and might feel irritated.
How to overcome:
Set ground rules and communicate. Acknowledge that it’s a team effort and agree to be respectful.
If one partner is dominant, they should consciously make space for the other to contribute.
If a disagreement arises, discuss the pros and cons objectively or do a quick prototype to compare. Rotating pairs regularly can also alleviate friction, as people won’t be stuck together forever.
Exhaustion and Focus Drain
Pairing can be mentally exhausting over long periods. It requires continuous focus and communication.
How to overcome: Pace yourselves. Take short breaks during pairing sessions to recharge. Some teams don’t pair 100% of the day; they pair for a few hours, then do some solo tasks.
A comfortable ergonomic setup also helps. Over time, you’ll develop a pairing rhythm that’s less draining.
Fear of Criticism / Vulnerability
It can be intimidating to have someone watching your every keystroke, exposing mistakes or knowledge gaps instantly.
How to overcome:
Build a culture of trust.
Emphasize that everyone writes bugs, and the goal is to learn and produce better code, not to judge each other. Give feedback kindly and focus on the code, not the person.
Over time, people usually gain confidence from seeing how quickly mistakes get caught and fixed without blame.
“It Slows Us Down” Perception
Managers or teammates might worry that having two people on one task is wasteful.
How to overcome:
Clarify that pair programming typically doesn’t mean 2x the cost.
Research and industry experience show only a modest overhead, often balanced by fewer bugs and less rework later.
Also, two people tend to solve problems more quickly and share knowledge, which improves overall team productivity.
Demonstrate the benefits with a pilot project or measure bug counts/time to fix. Usually, the initial skepticism fades once the quality and collaboration payoffs are visible.
Pair Programming vs. Other Coding Methods
How does pair programming stack up against other ways of working, like coding solo, mob programming, or peer code reviews?
Each method has its place.
Solo Programming (Coding Alone)
The traditional way most people code: one developer, one computer, their own tasks.
Working solo maximizes autonomy and can be great for tasks that require deep focus or are straightforward.
However, you lose immediate feedback, and bugs or design issues might only be caught much later.
Solo coding can also be slower for complex problems because you’re on your own to debug. Solo is often fine for simple, well-understood tasks, quick prototypes, or minor changes, but for critical features or tricky issues, pair programming can catch problems earlier.
Mob Programming
If pair programming is two people at one machine, mob programming is an entire team at one machine.
One person types, others guide, rotating roles periodically. Mob programming offers incredible knowledge sharing and alignment but can be resource-intensive and prone to disengagement if not facilitated well.
It’s ideal for complex architecture discussions or critical problems where you want everyone’s input. Day-to-day, though, it’s less common than pairing.
Peer Code Reviews (After-the-Fact Reviews)
Another practice to maintain code quality is peer code review, where code is written solo, then reviewed by someone else later.
While code reviews share similar goals (catching bugs, knowledge transfer), they’re asynchronous. Issues might be caught hours or days after coding.
Pair programming, by contrast, integrates review into the development process, catching mistakes on the spot. Code reviews are still valuable, especially if pairing isn’t feasible.
Many teams do both: pair on some tasks and review on others, or do a quick review by a third person after a pair finishes. Pair programming provides continuous feedback, while a code review is typically an end-of-process check.
When to Use Pair Programming vs Other Methods
Each method has pros and cons:
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Use pair programming for complex, risky, or high-priority tasks. It’s also great for onboarding or when someone is stuck.
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Use solo programming for simple tasks or quick spikes where one developer can move fast without needing extensive collaboration.
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Use mob programming for special cases like large design sessions, production incidents, or intensive knowledge-sharing moments.
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Use peer code reviews if you’re working solo or want additional scrutiny from someone outside the pair.
Many teams mix approaches, pairing where it provides clear value and working solo or doing reviews elsewhere.
Step-by-Step Guide to Getting Started with Pair Programming
Ready to give pair programming a try?
Here’s a step-by-step guide:
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Choose the Right Partner (or Pairing Buddy): Ideally, pick someone who is open-minded, patient, and communicative. A senior-junior pairing can be great for mentorship. Complementary skills also help.
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Set Up Your Environment (Workspace & Tools): If you’re co-located, have a comfortable desk setup for two people and a large monitor or mirrored monitors. If remote, use screen-sharing or real-time collaborative coding tools. Minimize distractions.
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Align on Goals and Roles: Agree on the task’s scope and confirm you both understand it. Decide who starts as Driver and who as Navigator. Decide how often you’ll switch roles (e.g., every 20-30 minutes or at logical breaks).
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Use Effective Communication Techniques: The Driver should think aloud; the Navigator should review and ask questions. Be inclusive and respectful. Listen actively and be patient.
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Start Coding & Rotate Roles Regularly: Implement the task in small chunks. Switch roles often so both stay engaged and practice driving/navigating.
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Leverage Tools for Collaboration: For remote pairing, consider real-time collaboration plugins or tools with low-latency screen sharing. Use timers if needed to remind you to switch roles or take breaks.
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Reflect and Adapt: After each session, discuss what went well and what could improve. Iterate on your process. Give positive feedback to keep morale high.
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Start Small if Needed: Try a low-stakes task or a coding exercise at first. As you gain confidence, move on to bigger features.
Real-World Use Cases and Examples
Pair programming isn’t just theoretical; it’s used widely in real companies:
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Pivotal Labs: Famous for pairing almost 100% of the time. Their entire office setup is built for two-people-per-workstation, and they credit pair programming for high-quality, maintainable software and rapid onboarding.
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Tech Giants and Startups: Companies like IBM, Microsoft, Google, and various startups use pair programming for critical tasks or to accelerate learning. Some banks require it on trading systems to minimize errors.
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Onboarding New Hires Quickly: Many organizations find that pairing speeds up onboarding because newbies learn directly from experienced teammates while working on real tasks.
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Academic Settings: Research in universities shows that students who pair often perform better and gain confidence. This aligns with industry observations about learning benefits.
Even if it’s not used everywhere, many teams do at least some ad-hoc pairing to tackle tricky bugs or design challenges. That alone shows the natural value of “two minds on one problem.”
Conclusion
Pair programming is more than just two people at one computer – it’s a mindset of collaboration and continuous code review that can significantly improve your development process.
For beginners, it’s a fantastic way to learn the ropes with guidance. For teams, it fosters knowledge sharing, higher quality code, and a culture of teamwork. While it comes with some challenges, with the right practices and an open attitude, those can be overcome.
Whether you adopt pair programming as a daily practice or just use it when it counts, understanding how it works will make you a stronger, more versatile developer.
So, what is pair programming? It’s a strategy to remind us that coding doesn’t have to be a solo sport. By pairing up, you leverage the power of “two heads are better than one” to write better software and learn from each other.
If you’ve never tried it, consider giving pair programming a go on your next project or bug fix – you might write code more effectively and have a great time doing it.
Frequently Asked Questions (FAQs)
Q: Doesn’t pair programming double the cost (two people doing one person’s job)?
It’s a common concern, but in practice, it usually doesn’t double the overall cost. Studies and industry reports have found the extra effort is far less than 2x and is often offset by better quality and reduced rework. Two people also tend to solve problems faster, without blockers that might stall a solo developer.
Q: Should we pair program 100% of the time on everything?
Not necessarily. Some organizations do pair all the time, but many find a balance. Use pair programming for more complex or high-value tasks and allow solo work for simpler ones. It’s about using the right tool for the job.
Q: How often should we switch roles (driver/navigator)?
A common guideline is every 15 to 30 minutes, or after completing a small portion of work. Frequent switching keeps both people active and engaged.
Q: Can pair programming be done remotely?
Absolutely. You just need good communication (audio/video) and a way to share the code in real time. Tools like screen-sharing, live collaborative editors, or specialized pair programming apps make this feasible.
Q: What if my pairing partner and I have very different coding styles or preferences?
Use it as an opportunity to discuss and potentially unify styles. Most teams adopt common coding standards and linters, so minor style differences become less of an issue. Talk openly about design choices and look for the best approach rather than “my way” vs. “your way.”
Q: How do I handle a situation where one person is doing all the work?
If one partner is dominating (or one is disengaged), address it directly. Schedule frequent role swaps and encourage both parties to contribute ideas. Ask the more dominant partner to slow down and invite the other’s input.
Q: I’m a beginner. Will my lack of experience slow down my partner too much?
Pair programming is one of the best ways for beginners to learn quickly. Yes, it might slow a senior down a bit in the short term, but it pays off when you ramp up and start contributing at a higher level sooner. Most seniors are happy to mentor.
Q: What if I don’t have anyone available to pair with?
You can try “rubber duck” debugging, find volunteers in a broader community, or do thorough code reviews. Some developers also use AI tools for real-time suggestions, though that’s not a true substitute for a human pairing partner.