Microsoft’s CEO Satya Nadella has revealed that 20% to 30% of the company code is now generated by the machine, signaling a new era of close collaboration between humans and AI in software development.
Satya made this disclosure during the recently held conference of Meta Llamacon, during a conversation by the fireside with the CEO of Meta, Mark Zuckerberg. He noted that the code generated by the AI goes beyond efficiency while stressing that it reshapes what is constructed, which builds it, and how the control engineers retain.
Microsoft’s CEO noted that Python adapts well to the code written by machine, while C ++ is late because of its complexity, highlighting the unequal impact of AI in programming languages. Once pressed, Zuckerberg admitted that he did not know the current percentage of code generated by the machine, but that the predicted AI could soon manage half of the Meta coding workload, highlighting intensive investments in automation.
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In addition, Sundar Pichai de Google recently said that more than 30% of Google’s code is generated by the machine, but ambiguity persists in the industry of what “generated”, automatic entry suggestions or fully functional modules.
The AI tools, now an integral part of Microsoft’s work flow, are not content to write code, they catch bugs and guarantee quality. Recall that the subsidiary of Microsoft Github also collaborated with OpenAi to integrate Codex into Github Copilot, a downloadable extension for software development programs such as Visual Studio Code. The tool uses Codex to draw the context of the existing code of a developer to suggest lines of code and additional functions.
Github’s co -pilot can do much more, in particular by answering engineers’ questions and converting the code from a programming language to another. Consequently, the assistant is responsible for an increasing percentage of written software and is even used to program critical companies.
In particular, Copilot is gradually revolutionizing the professional life of software engineers, the first professional cohort to use a generative AI in mass. Microsoft says that Copilot has attracted 1.3 million customers so far, including 50,000 companies ranging from small startups to companies like Goldman Sachs, Ford and Ernst & Young. The engineers revealed that Copilot saves hundreds of hours a month by manipulating tedious and repetitive tasks, which gives them time to focus on Notier’s challenges.
Today, software development tools powered by AI allow people to create software solutions. These tools fueled in AI reflect natural language in the programming languages that computers include.
The future of computer programming is already faced with a seismic change motivated by the progress of artificial intelligence. Industry leaders have contrasting prospects on how AI will reshape the development of software, with predictions ranging from transformer to prudent. A Microsoft framework has a more optimistic perspective, providing for the domination of AI in coding over the next five years.
Microsoft CTO Kevin Scott predicted that 95% of the programming code would be generated by AI by 2030. However, he quickly specified that this does not signal the end of human involvement in software engineering.
He always thinks that AI will not replace developers, but will fundamentally change their workflows. Instead of writing each line of code carefully, engineers will rely more and more on AI tools to generate code according to prompts and instructions. In this new paradigm, the developers will focus on the guidance of AI systems rather than the programming of computers manually.
However, adoption is not universal, as some languages and teams resist, and the absence of a clear definition of skepticism “generated by AI-AI. As the generation of AI code revolutionizes the development of software by automating repetitive tasks and allowing developers to focus on problem-ground, The industry is struggling with confidence, control and preparation for this transformer change.
