Pair programming is a software development technique in which two programmers work together at one workstation. One, the driver, writes code while the other, the observer or navigator, reviews each line of code as it is typed in.
Pair programming with a real person can help team members share knowledge, context, and the best ways to do things. It can also reduce mistakes, improve the quality of the code, and help the team work better together.
AI pair programming is a similar technique that involves the use of AI to assist a developer in writing code. AI pair programming tools like GitHub Copilot can suggest lines of code, and/or even functions based on what the developer is doing and what they tell the tool.
When it comes to AI for software development, there are a number of tools designed specifically to assist, and currently the two main contenders are Amazon CodeWhisperer and GitHub Copilot.
When it comes to the general benefits of both these tools, there are a few big ones.
Both tools:
When it comes to the risks of each tool, there are some not-so-serious and some very serious ones to be mindful of.
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”.
In conclusion, pair programming is a highly effective software development technique. It provides several benefits, including improved code quality and faster development times. Although there may be challenges associated with this approach, they can be overcome through careful planning and proactive management.
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