Apple to Create a GitHub Copilot Analog – An AI to Help Developers Code Faster

AI-Powered Coding Tool By Apple: A Rival To Microsoft’s GitHub Copilot

Apple is rumored to be in the process of creating a tool similar to GitHub Copilot, a software development instrument offering developers AI-assisted programming capabilities, developed through a collaboration between Microsoft and OpenAI.

Bloomberg reports, citing its usual industry sources, that Apple has been working on a major update to Xcode over the past year. This update is expected to include native AI-powered app development tools for Apple platforms. The new tools, which are currently being tested by Apple’s internal teams of developers, are expected to be available to clients by the end of this year.

A New Developer’s Tool Modeled After GitHub Copilot

Apple’s new tools for developers will function similar to GitHub Copilot, which predicts the needs of programmers and suggests completing blocks of code using large language model’s algorithms. This will accelerate the app development process and reduce costs by automating certain stages. Additionally, Apple intends to employ AI for initial software testing and debugging. More information is likely to be revealed during Apple’s annual Worldwide Developers Conference (WWDC) in June. The company’s management has tasked its developers to equip the planned iOS update with as many new AI-related features as possible.

AI-Driven Improvements in Future iOS, iPadOS, and macOS Versions

Profiling updates are earmarked for new versions of iOS, iPadOS, and macOS. However, advancements across these platforms won’t necessarily be simultaneous, as some innovations will be implemented over the course of several years. Apple plans to adopt AI to enhance user applications and search functions, as well as improve its voice assistant, Siri. The upgraded Siri will be capable of providing accurate responses to complex queries. Furthermore, Apple’s customer support service, AppleCare, will increasingly utilize robots for client interactions.

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