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Silicon Valley CEO says ‘vibe coding’ lets 10 engineers do the work of 100—here’s how to use it

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  • “Vibe coding” became an overnight buzzword in Silicon Valley after being coined by OpenAI co-founder Andrej Karpathy. The new attention on AI-powered coding is redefining the barriers to innovation.

This year may be the year that Silicon Valley hits one of its pinnacles—traditional coding is out, and vibes are in. 

That’s at least according to OpenAI co-founder Andrej Karpathy, whose post on X last month coining a new term sent Silicon Valley into a frenzy: “There’s a new kind of coding I call ‘vibe coding’, where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”

Vibe coding works by typing or speaking a few sentences into an AI-powered coding platform (Cursor, Bolt, and Claude are a few examples), and a project that otherwise might take hours or days to code can be created in a matter of seconds. And even if the code quickly grows beyond one’s comprehension, that’s no concern; you can also prompt the AI to fix any bugs or make any desired changes just as easily.

While coding with generative AI is nothing new, its capabilities are improving by the day; in fact, Anthropic’s CEO Dario Amodei predicts AI will be writing all of the code in the next three to six months. So, if you want to jump on the vibe coding bandwagon, here’s what you need to know.

How to vibe code

With a growing number of code editors integrating AI into their platforms, practically anyone can learn to (vibe) code these days—and the process will likely only improve as advanced LLMs are democratized.

Let’s take Bolt, for example. Because it’s browser-based, it can be one of the easiest platforms to experiment with and understand the future of coding. After creating a free account, in as little as one sentence, you can ask the artificial intelligence to design a website, create a mobile app, or develop a video game—and the source code is provided at your fingertips. 

For example, I asked Bolt to redesign the McDonald’s website to make it more modern and entice me to eat there:

In less than a minute, I had the foundation to make a decent-looking website. Even though most of the source code is foreign to me, I can make changes to the design by fine-tuning prompts, reviewing outputs, and giving feedback.

Here’s another example. I asked Bolt to create an innovative app to track my fitness goals. After the initial prototype was created, I promoted it to change a specific button red.

While these are two basic instances developed in a matter of minutes, web and app development is just the tip of the iceberg; imagine the possibilities if you have a true business idea. Prototyping that previously could take days of your time can be completed almost instantly. 

Ethan Mollick, an associate professor at the University of Pennsylvania’s Wharton School, even recently used Claude to create a video game that includes mechanics of relativity—just by prompting and not touching a single line of code himself. 

And while even Karpathy admits vibe coding is not perfect, it signals that a future where new innovations can be developed overnight—and lead to earth shattering business pursuits. 

How vibe coding will impact software development careers

Vibe coding and the advanced capabilities of AI just might be the nail in the coffin when it comes to the traditional views of computer programming and software development skills. However, for those who embrace AI, it can open even more doors. 

A team of just 10 vibe coders can easily be on their way to building the next multi-million dollar start-up, Garry Tan, CEO and president of Y Combinator, tells CNBC. That work otherwise might have taken 50 or 100 engineers.

“You know, maybe it’s that engineer who couldn’t get a job at Meta or Google, who actually can build a standalone business making 10 or 100 million dollars a year with 10 people,” Tan says. “Like that’s such a powerful moment in software.”

Even though the term vibe coding is less than two months old, tech experts and students alike have used generative AI for years to create software. However, this new Silicon Valley buzzword is likely to only expedite the need for AI skills. According to LinkedIn, AI literacy is the fastest-growing skill in the U.S. this year. 

Computer science is dead—and vibe coding is part of the rebirth

Vibe coding—and AI more broadly—will soon reshape everything in the world of computing, says Jules White, professor of computer science at Vanderbilt University. 

“It’s the most exciting time in computer science because all the computer science, in many ways that we’ve been doing for the past decades, is dead,” he says.

And while it’s likely those in tech will be writing less and less code, the ability to read and understand code remains an important skill—at least for now, he adds.

“We don’t do a good job, I think a lot of times, of teaching people to read other people’s code and to understand other people’s design decisions,” White says. “I think that’s going to have to become a much bigger emphasis if I’m using generative AI to write the code.”

The benefits of learning how to code and prompt AI are not restricted to those who want careers in tech. As generative AI is expected to impact all areas of the workforce, learning to use it can give you an edge in any job market

“It enables a lot of people who might not have a traditional software engineering background or access to it to just bring an idea to life, which I think is super, super exciting,” Antje Barth, a principal developer advocate at AWS tells Fortune.

Overall, Karim Meghji, chief product officer at Code.org encourages young learners in particular to not get distracted by the vibe coding “hype train” and instead focus on building a foundation with their own skills.

“Lean into using these tools. Understand tools, but don’t forget the basics. It’s like we all took a language when we were in school, and then we applied the language,” Meghi says. “That doesn’t mean that we didn’t have tools to help us apply the language, but we learned foundations so we could actually create good stories.”

This story was originally featured on Fortune.com



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Trump appointee Scott Kupor resigns from some a16z funds, boards ahead of confirmation as head of OPM

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Scott Kupor, the first hire at Silicon Valley venture capital powerhouse Andreessen Horowitz, is stepping away from active management of dozens of funds but maintaining passive stake in nearly 40 other firm funds, as the Senate weighs his nomination by Trump to lead the Office of Personnel Management.

Kupor will resign as managing partner from a16z, as the firm is known, and has already given up his managing member seat in 32 a16z funds, including several of the firm’s bio and seed funds, according to a letter he wrote to the OPM ethics official that was made public ahead of his confirmation hearing on Thursday. He will remain a passive investor in 38 other funds, according to the letter, though he will forfeit any carried interest that is unvested when he is appointed.

As part of his appointment, Kupor will also divest from positions in Microsoft, Apple, Adobe, Amazon, Lockheed Martin, and other companies, and resign from several board positions in a16z portfolio companies, including Formation Bio, a startup that uses AI to speed up drug development; Talkiatry, a psychiatric care startup; Pearl Health, a primary care organization software startup; and Foursquare, the geolocation and social networking company. He will also step off the board of Alice Walton’s Heartland Whole Health Institute, a non-profit organization founded by Walton in 2019 to rework the healthcare payment and health care delivery system, and the St. Jude Children’s Research Hospital. 

Kupor is among several prominent Silicon Valley investors and entrepreneurs who have been tapped for roles in the Trump administration, along with AI and Crypto czar David Sacks of Craft Ventures, and Senior White House AI policy advisor Sriram Krishnan, who previously worked at a16z. 

While federal ethics regulations via the Office of Government Ethics often require Cabinet appointees to divest from any companies with financial interests that either pose a conflict of interest or lead to the perception of one, some Trump picks, such as Tesla CEO Elon Musk, have kept their day jobs by working with the White House as “special government employees” who can only serve for 130 days.

Kupor declined to comment for this story. An a16z spokeswoman said that Kupor’s board seats will be covered by other people at the firm.

Thursday morning Kupor had his confirmation hearing with the U.S. Senate Committee on Homeland Security & Governmental Affairs, in which he testified to Republican and Democratic members and laid out his general plans and the approach he will take to the role. 

Kupor was selected by Trump in December to lead the Office of Personnel Management. Kupor was the first hire of Marc Andreessen and Ben Horowitz in 2009, shortly after they set up the venture capital firm. Both investors had publicly supported and donated to Trump’s campaign in 2024, and, since the election, Andreessen has spent a significant amount of time at Mar-a-Lago, and Vice President J.D. Vance spoke at the firm’s American Dynamism Summit in D.C. in March.

Kupor’s hearing on Thursday became contentious at times, as Senators pressed Kupor to comment on the firings and cuts that have disrupted numerous federal agencies in the months since President Donald Trump has taken office. Kupor refrained from speaking about any of the terminations but repeatedly said that he believed it was important to treat federal employees in a way that “respects the dignity and humanity” of workers.

“I’ve been very clear in my written responses, in the conversations that we’ve had, that I think the process is one that requires transparency and communication, and we need to recognize and respect the humanity of the workforce,” Kupor said calmly during the hearing in response to questions.

In prepared statements to the Committee, Kupor emphasized his time at a16z and his role in building it from a 3-person $300 million fund to a 600-person $45 billion financial institution.

“Yes, I come from the private sector and, yes, I recognize that the government is not the private sector. Rightly so, the government may have different goals and objectives that should inform our thinking,” Kupor said. “But the fundamentals of organizational design are the same, whether in non-profits, the government or in the private sector. And this is where I believe that my professional experiences make me uniquely suited for this role.”

This story was originally featured on Fortune.com



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Senate confirms Dr. Oz to lead Medicare and Medicaid as Congress debates cuts to programs that provide millions with coverage

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Are Trump’s tariffs as bad as the Smoot-Hawley Act, which is blamed for deepening the Great Depression? They’re actually worse

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It’s Smoot-Hawley all over again! At least by this reporter’s calculations, the sweeping tariff regime that President Trump unveiled following the market close on April 2 literally lifts America’s duties on imports to roughly the same level that the much-reviled legislation took them to at the start of the Great Depression.

The ultraprotectionist Smoot-Hawley Act is widely blamed for deepening and prolonging the worst chapter in U.S. economic history. In a 1993 debate with independent presidential candidate Ross Perot on Larry King Live, then VP and free-trade advocate Al Gore brought an antique picture of the two senators, mocking them for a disastrous policy prescription that “sounded reasonable at the time.” Indeed, for the general public and a wide swath of trade experts, going the Smoot-Hawley route is the economic equivalent of shooting yourself in the foot.

The Trump announcement contained two big surprises. The first: The tariffs are much higher and more extensive than investors and businesses had expected, based on the President’s ever-changing, and at times relatively dovish, musings in the previous days and weeks. Second, the “retaliatory” tariffs were generally gigantic and bore no relation to the posted numerical duties the targeted nations impose on the U.S. For example, the EU slaps an average rate of 2.7% on our goods, according to the World Trade Organization. Yet Trump is piling across-the-board tariffs of 20% on the 27-nation bloc.

What explains the gap? The President reckons that the Community is really charging our exporters 39% via indirect trade barriers that encompass such roadblocks as quotas, technical standards, government procurement policies, and currency manipulation. That the President is imposing a penalty that’s 19 points lower than what the EU’s supposedly charging the U.S. may explain Trump’s claim that he’s being unnecessarily “kind” to our trading partners.

The just-released 2025 Trade Estimate Report on Foreign Trade Barriers compiled by the Office of the U.S. Trade Representative details these alleged restrictions for numerous countries. The administration, however, hasn’t disclosed how it arrived at the precise weight of all indirect barriers, which reach 52% for India and 67% for China, many multiples of the actual rupee or yuan tariffs they collect. It’s the administration’s partner by partner estimate of towering non-tariff walls that mostly explain why the announced rates are so shockingly high.

The key number is the average tariff Trump’s charging across all U.S. imports, and it’s big

Think tanks and Wall Street analysts are rushing to determine the average overall rate, and hence the total dollar charge, that the plan will slap on our imports. That’s also the number American consumers will pay in what amounts to higher taxes if indeed importers pass all the charges along in higher prices, precisely what happened when Trump heaped big duties on the likes of steel and aluminum in his first term. So, this writer calculated those numbers based on the percentage tariff for each nation and the EU, and the dollars in exports they sent Stateside in 2025. It proved perhaps my most head-spinning numerical exercise in several decades as a business reporter.

Trump hit all of the 12 largest exporters to the US with tariffs of at least 20%. China took the hardest punch at 54%, followed by Vietnam (46%), Thailand (36%), Taiwan (32%), Switzerland (31%), India (26%), Japan (24%), Mexico and Canada (25% each), South Korea (25%), Malaysia (24%), and the EU (20%). Fourteenth-ranked Indonesia got dinged 32%. Most of the other 150-plus nations on the list fall under the 10% “universal” tariff regime, including Singapore and Brazil, which sit in 13th and 14th place respectively in export volumes to the U.S.

The 13 heavily penalized supposed bad actors among the 15 largest exporters accounted for $2.92 trillion of foreign goods sold in the America last year. That’s over 70% of $4.11 trillion total. By my calculations, that group alone, based on last year’s numbers, would now be facing around $814 billion in annual duties, or an average rate of 28%. The remaining nations are generally subject to 10% duties on the $1.2 billion remainder, or $120 million. So, all in all, the new tariff bill would mushroom to around $932 billion (the $814 billion for the biggest exporters plus $120 billion for the generally smaller nations at 10%). That’s an average import duty of 22.7%.

How the Trump tariffs compare to Smoot-Hawley

In June of 1930, just eight months after the historic stock market crash that marked the start of the Great Depression, Congress enacted the Smoot-Hawley tariff law, championed by Senator Reed Smoot (R-Utah) and Representative Willis Hawley (R-Ore.). The nation had already turned toward protectionism, chiefly to protect farmers and industrial workers, eight years earlier when the Fordney-McCumber bill raised tariffs substantially, from the single digits to an average of 13.5%, where they stayed pre-Smoot-Hawley. The new law, designed to double down on shielding agricultural workers and folks toiling in the likes of steel and auto plants, raised imposed duties to over 50% on many products. Still, around two-thirds of U.S. imports remained tariff-free, so the average rate rose much less, by 6.3 points to just under 20%.

That’s slightly below the 22% or 23% I get for the Trump plan. And that’s stunning in itself. But the most astounding takeaway is that the Trump blueprint would raise today’s tariffs from the current 3% by nearly 20 points, or sevenfold! That’s three times the jump under Smoot-Hawley.

In the three years following the enactment of Smoot-Hawley, U.S. imports dropped by two-thirds, and, pounded by stiff retaliation from nations such as Germany, the U.K., and Canada, our sales abroad fell by a like percentage. According to most economists, the Trump tariffs are likely to unleash a sharp decline in both what we buy from foreigners and what our producers sell abroad in the years to come, and if the shrinkage in our global trading activity proves even a fraction of the disastrous collapse post-Smoot-Hawley, it’s bad news. The nonpartisan Tax Foundation, in estimates posted before the Trump announcement on April 2, reckoned that the new duties would curb GDP growth by 0.4% a year in the long term. That shaves around a quarter from the 2% or less expansion the CBO projects in the years ahead. And that forecast was based on the new tariffs hitting around half of the $4 trillion Trump targeted. Put simply, Trump rocked America by targeting everything big, meaning at least 10%, and most exports super-big.

Not all distinguished experts believe that Smoot-Hawley triggered the Great Depression. Nobel laureate Milton Friedman ascribed the collapse in the 1930s to overrestrictive monetary policy, and viewed Smoot-Hawley as only a minor factor. But a tariff increase that’s multiple of the one that almost a century ago, was advertised as a path to prosperity, and that at the very least proved a negative, isn’t encouraging. The Smoot-Hawley saga has an interesting coda involving the bill’s cosponsors: In the 1932 election, Hawley lost his primary; Smoot got waxed in the general election; and the Republicans shed 11 seats in one of the worst routs in the annals of senatorial elections.

So far, the markets hate the Trump plan. We’ll soon see if the voters follow suit.

This story was originally featured on Fortune.com



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