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In an online survey of pair programmers from 2000, 96% of programmers stated that they enjoyed work more while pair programming than programming alone. Furthermore, 95% said that they were more confident in their work when they pair programmed. However, as the survey was among self-selected pair programmers, it did not account for programmers who were forced to pair programs.
Knowledge is constantly shared between pair programmers, whether in the industry or in a classroom. Many sources suggest that students show higher confidence when programming in pairs, and many learn whether it be from tips on programming language rules to overall design skills. In \"promiscuous pairing\", each programmer communicates and works with all the other programmers on the team rather than pairing only with one partner, which causes knowledge of the system to spread throughout the whole team. Pair programming allows programmers to examine their partner's code and provide feedback, which is necessary to increase their own ability to develop monitoring mechanisms for their own learning activities.
Pair programming allows team members to share quickly, making them less likely to have agendas hidden from each other. This helps pair programmers learn to communicate more easily. \"This raises the communication bandwidth and frequency within the project, increasing overall information flow within the team.\"
There are both empirical studies and meta-analyses of pair programming. The empirical studies tend to examine the level of productivity and the quality of the code, while meta-analyses may focus on biases introduced by the process of testing and publishing.
A meta-analysis found pairs typically consider more design alternatives than programmers working alone, arrive at simpler, more maintainable designs, and catch design defects earlier. However, it raised concerns that its findings may have been influenced by \"signs of publication bias among published studies on pair programming\". It concluded that \"pair programming is not uniformly beneficial or effective\".
Although pair programmers may complete a task faster than a solo programmer, the total number of person-hours increases. A manager would have to balance faster completion of the work and reduced testing and debugging time against the higher cost of coding. The relative weight of these factors can vary by project and task.
The benefit of pairing is greatest on tasks that the programmers do not fully understand before they begin: that is, challenging tasks that call for creativity and sophistication, and for novices as compared to experts. Pair programming could be helpful for attaining high quality and correctness on complex programming tasks, but it would also increase the development effort (cost) significantly.
A study of programmers using AI assistance tools such as GitHub Copilot found that while some programmers conceived of AI assistance as similar to pair programming, in practice the use of such tools is very different in terms of the programmer experience, with the human programmer having to transition repeatedly between driver and navigator roles.
Remote pair programming, also known as virtual pair programming or distributed pair programming, is pair programming in which the two programmers are in different locations, working via a collaborative real-time editor, shared desktop, or a remote pair programming IDE plugin. Remote pairing introduces difficulties not present in face-to-face pairing, such as extra delays for coordination, depending more on \"heavyweight\" task-tracking tools instead of \"lightweight\" ones like index cards, and loss of verbal communication resulting in confusion and conflicts over such things as who \"has the keyboard\".
Your Apple Watch shows the watch face when the pairing procedure is finished and your watch is ready to use. Keep your Apple Watch and iPhone close together so the devices can continue syncing information in the background.
The usual plural of pair is pairs. This is a recent innovation; the plural pair was formerly predominant and may be found in older texts like \"A Key to Joyce's Arithmetic\" (compare Middle English paire, plural paire). That is, a native English speaker, back in the early 19th century, would say 20 pair of shoes, as opposed to today's 20 pairs of shoes. In colloquial or dialectal speech, forms such as 20 pair may still be found; because of their relegation to informal speech, they are now sometimes proscribed.
You must have an au pair placement agreement (pdf) setting out your working conditions, your pay and the arrangements for your French classes. Details of your subsistence, accommodation, and insurance arrangements will also be stated.
Betty Snyder and I, from the beginning, were a pair. And I believe that the best programs and designs are done by pairs, because you can criticise each other, and find each others errors, and use the best ideas.
Jean Bartik was one of the ENIAC women, who are considered by many to be the very first programmers. They took on the task of programming when the word \"program\" was not even used yet, and there were no role models or books to tell them how to do this - and they decided that it would be a good idea to work in a pair. It took about 50 more years for pair programming to become a widespread term, when Kent Beck described the term in his book \"Extreme Programming\" in the late 1990s. The book introduced agile software development practices to a wider audience, pairing being one of them.
Pair programming essentially means that two people write code together on one machine. It is a very collaborative way of working and involves a lot of communication. While a pair of developers work on a task together, they do not only write code, they also plan and discuss their work. They clarify ideas on the way, discuss approaches and come to better solutions.
The first part of this article, \"How to pair\", gives an overview of different practical approaches to pair programming. It's for readers who are looking to get started with pairing, or looking to get better at it.
The second and third parts, \"Benefits\" and \"Challenges\", dive deeper into what the goals of pair programming are, and how to deal with the challenges that can keep us from those goals. These parts are for you if you want to understand better why pair programming is good for your software and your team, or if you want some ideas what to improve.
An important aspect of this is the idea that the driver totally trusts the navigator and should be \"comfortable with incomplete understanding\". Questions of \"why\", and challenges to the solution should be discussed after the implementation session. In a setting where one person is a total novice, this can make the pairing much more effective.
\"Pair Development\" is not so much a specific technique to pair, but more of a mindset to have about pairing. (We first came across the term in this thread on Sarah Mei's Twitter account.) The development of a user story or a feature usually requires not just coding, but many other tasks. As a pair, you're responsible for all of those things.
Documentation is a great example of a task where a pair can keep each other disciplined. It's often a task left for last, and when it's the last thing keeping us from the great feeling of putting our story into \"Done\", then more often than not, we skip it, or \"wing it\". Working in a pair keeps us honest about some of the valuable, but annoying things that we'll be very thankful for in the future.
The pomodoro technique is ones of those tools. It is a time management method that breaks work down into chunks of time - traditionally 25 minutes - that are separated by short breaks. The technique can be applied to almost all of the pairing approaches described and will keep you focused. Pairing can be an exhausting practice, so it is helpful to get a reminder to take breaks and to switch the keyboard regularly.
Rotating pairs means that after working together for some time, one half of the pair leaves the story, while the other person onboards somebody new to continue. The person who stays is often called the \"anchor\" of a story.
One category of reasons why to rotate is logistics. Your pairing partner could be sick or going on holiday. Or one of you is working remotely for a day, and the work requires physical presence on site, e.g. because there is a hardware setup involved.
Finally, the most given reason for pair rotations is to avoid knowledge silos, increase collective code ownership, and get some more code review on-the-go. Pairing itself is already helping with those things, but rotations can further increase the average number of eyes on each line of code that goes to production.
Start the day with a calendar check - agree with your pairing partner on how many hours you are going to pair, and see if you need to plan around meetings or time needed to work on other things outside of the pairing task. If it turns out that one of you will have to work by themselves for a while, then make sure to prepare for things to continue without the other person, e.g. by not using that person's computer to code.
If you have meetings or other commitments during the day, make sure you have a reminder in place that you will notice, especially when working on your pairing partner's machine. If your team pairs by default, consider agreeing on regular \"core coding hours\" for everyone. This makes scheduling much easier. 59ce067264