Skip to Content
Artificial intelligence

Generative coding

AI coding tools are rapidly changing how we produce software, and the industry is embracing it—perhaps at the expense of entry-level coding jobs.

WHOCopilot, Cursor, Lovable, Replit
WHENNow
A montage collage depicting a pool of code, consisting of a circle filled with typed code, layered on top of a circle masked with water. Behind the water, there’s a wave of call-to-action buttons.
VICHHIKA TEP/MIT TECHNOLOGY REVIEW | ADOBE STOCK

Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business.

Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of 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% of Microsoft’s code and more than a quarter of Google’s, according to the heads of those companies, while Mark Zuckerberg aspires to have most of Meta’s code written by AI agents in the near future.

Meanwhile, powerful new AI tools like GitHub Copilot, Cursor, Lovable, and Replit have given even people with little to no knowledge of coding the ability to knock up impressive-looking apps, games, websites, and other digital projects using little more than a series of prompts detailing what they want to build.

Some practitioners are even allowing the software to take the lead when it comes to writing code and accepting some or all of its suggestions, a method known as “vibe coding.” But there’s still no substitute for good old human know-how—because AI hallucinates nonsense, there’s no guarantee that its suggestions will be helpful or secure. Researchers at MIT CSAIL highlight how even AI-generated code that looks plausible may not always do what it’s designed to. AI tools also struggle with large, complex code bases—though companies such as Cosine and Poolside are working on that.

We’re also beginning to see the early effects on other parts of the industry—including fewer entry-level jobs for younger workers. So while coding assistants may help you in your existing job, they won’t necessarily help you land a new one.

Correction note: This original version of this story referred to Microsoft Copilot. It has been updated to use the correct name for the product we're referring to, which is GitHub Copilot. We apologize for the error.

Deep Dive

Artificial intelligence

OpenAI is throwing everything into building a fully automated researcher

An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.

Want to understand the current state of AI? Check out these charts.

According to Stanford’s 2026 AI Index, AI is sprinting, and we’re struggling to keep up.

Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI’s models

Musk kept his cool, and OpenAI’s lawyer bulldozed him with piercing questions about his motivations for suing the company.

10 Things That Matter in AI Right Now

MIT Technology Review's authoritative overview of the 10 technologies, emerging trends, bold ideas, and powerful movements in AI in 2026.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.