OpenAI's former head of research said vibe coding isn't going to make engineering jobs obsolete — for now
Bob McGrew, who left OpenAI last year, said product managers can vibe code "really cool prototypes."
But engineers still have to build the products in case they need to troubleshoot it, he said.
McGrew, who left OpenAI in November, said on the latest episode of Sequoia Capital's "Training Data" podcast that product managers can make "really cool prototypes" with vibe coding. But human engineers will still be brought in to "rewrite it from scratch."
"If you are given a code base that you don't understand — this is a classic software engineering question — is that a liability or is it an asset? Right? And the classic answer is that it's a liability," McGrew said of software made with vibe coding.
"You have to maintain this thing. You don't know how it works, no one knows how it works. That's terrible," he continued.
McGrew said that in the next one or two years, coding will be done by a mix of human engineers working with AI tools like Cursor and AI agents like Devin working in the background.
He added that while the liability that comes with using agents to code has gone down, it is "still, net, a liability."
Human engineers are needed to design and "understand the code base at a high level," McGrew said. This is so that when something goes wrong or if a project "becomes too complicated for AI to understand," a human engineer can help break the problem down into parts for an AI to solve.
McGrew did not respond to a request for comment from Business Insider.
The rise of AI has spurred fears of companies replacing their software engineers with AI.
In October, Sundar Pichai, the CEO of Google, said on an earnings call that the search giant was using AI to write more than 25% of its new code.
Garry Tan, the president and CEO of Y Combinator, said in March that a quarter of the founders in the startup incubator's 2025 winter batch used AI to code their software.
"For 25% of the Winter 2025 batch, 95% of lines of code are LLM generated. That's not a typo," Tan wrote in an X post.
On Tuesday, Andy Jassy, the CEO of Amazon, said in a memo to employees that AI will " reduce our total corporate workforce" and provide "efficiency gains."
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Associated Press
42 minutes ago
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an hour ago
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Through the integration and innovation of technology and finance, AAS Miner has truly implemented the concept of 'everyone can mine', opening a new entrance to digital wealth for ordinary users. One-click AI smart mining, completely bid farewell to the 'high threshold' era Traditional cryptocurrency mining often requires high mining machine costs, electricity input and complex technical configuration, which is almost impossible for ordinary users to participate. AAS Miner has completely overturned this situation – users only need to complete registration through the official website ( to enjoy a 10 USDT novice reward; after downloading the App, you can also get an additional 0.80 USDT incentive for daily login, realizing a truly 0-cost start and easy profit. 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Whether you are a firm believer in heavy Bitcoin or a prudent investor who is optimistic about stablecoin income, AAS Miner can customize a personalized mining plan for you and provide a 'tailor-made' digital asset growth path. Conclusion: AAS Miner, a trustworthy digital wealth growth engine When the crypto market enters a new era with compliance, intelligence, and decentralization as the core, AAS Miner uses technology, responsibility and innovation to open the 'easy, safe, and high-yield' wealth door for global investors. Without high investment or complicated operations, you can easily participate in the real-time mining of mainstream crypto assets such as Bitcoin with just a mobile phone. Visit the official website( now, download the App, register and get $10 to start your passive income journey. AAS Miner will accompany you through the bull and bear markets and build a new era of future encryption. 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Business Insider
an hour ago
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He lost half his vision to glaucoma. Now he's using AI to help spot disease — but he says tech will never replace doctors.
Kevin Choi lost half his vision to glaucoma. In 2016, he teamed up with his doctor to cofound Mediwhale, a South Korea-based healthtech startup. Kevin Choi lost half his vision to glaucoma. In 2016, he teamed up with his doctor to cofound Mediwhale, a South Korea-based healthtech startup. Antoine Mutin for BI lighning bolt icon An icon in the shape of a lightning bolt. lighning bolt icon An icon in the shape of a lightning bolt. Impact Link Have an account? Log in . This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. At 26, Kevin Choi got a diagnosis that changed his life: glaucoma. It's a progressive eye disease that damages the optic nerve, often without symptoms until it's too late. By the time doctors caught it, Choi had lost half his vision. An engineer by training — and a former rifleman in South Korea's Marine Corps — Choi thought he had a solid handle on his health. Related video "I was really frustrated I didn't notice that," he said. The 2016 diagnosis still gives him "panic." But it also sparked something big. That year, Choi teamed up with his doctor, a vitreoretinal surgeon, to cofound Mediwhale, a South Korea-based healthtech startup. Their mission is to use AI to catch diseases before symptoms show up and cause irreversible harm. "I'm the person who feels the value of that the most," Choi said. The tech can screen for cardiovascular, kidney, and eye diseases through non-invasive retinal scans. Mediwhale's technology is primarily used in South Korea, and hospitals in Dubai, Italy, and Malaysia have also adopted it. Mediwhale said in September that it had raised $12 million in its Series A2 funding round, led by Korea Development Bank. Antoine Mutin for BI AI can help with fast, early screening Choi believes AI is most powerful in the earliest stage of care: screening. AI, he said, can help healthcare providers make faster, smarter decisions — the kind that can mean the difference between early intervention and irreversible harm. In some conditions, "speed is the most important," Choi said. That's true for "silent killers" like heart and kidney disease, and progressive conditions like glaucoma — all of which often show no early symptoms but, unchecked, can lead to permanent damage. For patients with chronic conditions like diabetes or obesity, the stakes are even higher. Early complications can lead to dementia, liver disease, heart problems, or kidney failure. The earlier these risks are spotted, the more options doctors — and patients — have. Related stories Business Insider tells the innovative stories you want to know Business Insider tells the innovative stories you want to know Choi said Mediwhale's AI makes it easier to triage by flagging who's low-risk, who needs monitoring, and who should see a doctor immediately. Screening patients at the first point of contact doesn't require "very deep knowledge," Choi said. That kind of quick, low-friction risk assessment is where AI shines. Mediwhale's tool lets patients bypass traditional procedures — including blood tests, CT scans, and ultrasounds — when screening for cardiovascular and kidney risks. Choi also said that when patients see their risks visualized through retinal scans, they tend to take it more seriously. Choi said AI can help healthcare providers make faster, smarter decisions — the kind that can mean the difference between early intervention and irreversible harm. Antoine Mutin for BI AI won't replace doctors Despite his belief in AI's power, Choi is clear: It's not a replacement for doctors. Patients want to hear a human doctor's opinion and reassurance. Choi also said that medicine is often messier than a clean dataset. While AI is "brilliant at solving defined problems," it lacks the ability to navigate nuance. "Medicine often requires a different dimension of decision-making," he said. For example: How will a specific treatment affect someone's life? Will they follow through? How is their emotional state affecting their condition? These are all variables that algorithms still struggle to read, but doctors can pick up. These insights "go beyond simple data points," Choi said. And when patients push back — say, hesitating to start a new medication — doctors are trained to both understand why and guide them. They are able to "navigate patients' irrational behaviours while still grounding decisions in quantitative data," he said. "These are complex decision-making processes that extend far beyond simply processing information."