Google CEO Sundar Pichai recently revealed that AI is now generating more than a quarter of the new code for its products, according to the company’s earnings call. . In other words, AI tools are already having a huge impact on software development.
Photosi said that human programmers can oversee computer-generated code, which. The CEO noted that AI coding helps “increase productivity and efficiency,” ensuring that engineers “do more and move faster.”
There are no two ways around it. 25 percent is a lot, and Google is just one company that relies on AI algorithms to perform complex coding tasks. According to , more than 75 percent of respondents already use or “plan to use” AI tools to help with software development. Another revealed that 92 percent of US-based developers are currently using AI coding tools.
This leads us to the striking elephant in the room. As AI continues to perform coding tasks, human knowledge begins to diminish. This can eventually lead to a declining knowledge base where people don’t know how to correct errors created by AI algorithms, which are, in turn, created by other AI algorithms. We may be staring down an ouroboros of confusion where it is nearly impossible to find bugs between generations of AI code. Good times!
We’re not there yet, but AI-assisted coding shows no signs of slowing down. The process began its meteoric rise back in 2022 when GitHub . Since then, companies like Anthropic, Meta, Google and OpenAI have all released AI-coding software suites. GitHub recently announced Copilot with models from Anthropic and Google, in addition to OpenAI.
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