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AWS Chief AI and Technology Officer Matt Wood: Great Engineers Should Fall in Love with the Problem, Not the Ready-Made Solution

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IT之家 November 12 news, according to a Business Insider report this evening (the 12th), 亚马逊 Web Services (AWS) Chief AI and Technology Officer Matt Wood believes that truly excellent engineers should focus more on the problem to be solved rather than fixating on a particular solution. "We want engineers not to be too enamored with their own specific proposals, but to put more passion into the problem itself." In his view, excellent engineers do not only use AI to write code; they also use AI to analyze problems in depth and try different approaches to solving them. In the past, software development was costly, and it was often more cost-effective for teams to concentrate resources on implementing a single solution. With AI, developers can not only study problems more thoroughly but also try multiple solutions at the same time. 亚马逊 is also readjusting its requirements for software engineers. Last month, the company released a memo announcing new role guidelines and put forward the concept of a "Renaissance developer era." The new guidelines no longer emphasize using AI as much as possible, but place greater value on the long-term value engineers can bring to customers and the busines

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AWS Chief AI and Technology Officer Matt Wood: Great Engineers Should Fall in Love with the Problem, Not the Ready-Made Solution

IT之家 November 12 — According to a report by Business Insider this evening (the 12th), 亚马逊 Web Services (AWS) Chief AI and Technology Officer Matt Wood believes that truly excellent engineers should focus more on the problem to be solved rather than fixating on a particular solution. "We want engineers not to be too enamored with the specific solution they propose, but to put more passion into the problem itself."

In his view, excellent engineers don't just use AI to write code; they also use AI to analyze problems in depth and try different approaches to solving them.

In the past, software development was costly, and it was often more cost-effective for teams to concentrate resources on implementing a single solution. With AI, developers can not only study a problem more thoroughly but also try multiple solutions at the same time.

亚马逊 is also readjusting its requirements for software engineers. Last month, the company published a memo setting out new job guidelines and put forward the concept of a "renaissance developer era." The new guidelines no longer emphasize using AI as much as possible, but place greater weight on the long-term value engineers can deliver to customers and the business.

Previously, engineers might have to spend several days waiting for code review, manual testing, and design revisions. Now that AI can generate code, engineers can devote more energy to complex review work.

伍德 believes that engineers who are not wedded to a single solution are better at adapting to change and tend to be more productive. "They're happier at work, and their careers progress more smoothly."

As AI changes the way software development is done, many tech leaders have begun rethinking what makes an engineer excellent. Many argue that as engineers' work gradually shifts toward managing AI agents and making more decisions, technical taste and judgment become especially important.

IT之家 has learned from the report that 亚马逊 Web Services chief engineer 戴维 · 亚纳切克 recently proposed that the best developers should be both "paranoid" and "lazy": they like to hand repetitive work over to automation tools, and they are also cautious enough to set the necessary safety limits so that AI agents can run safely without someone watching them all the time.

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