Generative AI’s ability to write software code has quickly formed one of the technology’s first real use cases for business.
Professional software engineers and novices alike are using AI coding assistants to develop, test, edit and debug code, reducing the time it takes to complete the often tedious steps required to finish projects. And Big Tech is fully on board: AI now writes as much as 30% Code from Microsoft And more than a quarter Google’saccording to the heads of these companies, while Mark Zuckerberg wishes Most of the meta code Written by AI agents in the near future.
Meanwhile, powerful new AI tools like Microsoft Copilot, Cursor, Dear, and Duplicator also gained little knowledge of how to code the ability to knock out impressive-looking apps, games, websites, and other digital projects that led to what they wanted to build.
Some practitioners are even letting the software take the lead when it comes to writing code and accepting some or all of its suggestions, an approach known as “vibe coding.” But there’s still no substitute for good old human know-how—because AI hawks nonsense, there’s no guarantee that its suggestions will be helpful or safe. The researchers MIT CSAIL highlights that even AI-encoded code that looks plausible can’t always do what it’s designed to do. AI tools also struggle with large, complex code bases — although companies like Cosine and Poleside are working on it.
We are also starting to see early impacts on other parts of the industry. Below entry level jobs For young workers. So while coding assistants can help you with your current job, they won’t necessarily help you land a new one.