An Anthropic engineering manager says he has stopped using traditional coding interviews because AI can now outperform candidates on the kinds of programming challenges they typically contain. "There's no more point in giving you a little React challenge than there is in quizzing people about assembly; Claude is now better at both," said Felix Rieseberg in a blog post. "Our most impactful builders are successful regardless of how good they are at these tests." The Register reports: "I don't think the coding interview is going to come back," said Rieseberg. "It's easy to get sentimental given how many copies of 'Algorithms and Data Structures' were bought in hopes of unlocking good jobs and a better future -- or how the death of the coding interview is another milestone in software engineering reaching a new level of abstraction." At the same time, he's not certain what will replace it. "I'm probably not the only manager trying to figure out how to interview for people who build well with AI," Rieseberg wrote. "I haven't quite gotten there yet -- but I'm scanning resumes and portfolios for little prototypes that exhibit taste, empathy, and principled thinking. If you have figured out something better, I'd love to hear how." In a response posted to social media, Jaana Dogan, principal engineer at Google, said: "I'm not doing a ton of coding interviews nowadays but I'd be interested to interview how people use coding agents," she wrote. "That itself gives me more signals about candidates' coding skills." "We are not seeing tech companies abandon skills assessments widely across the industry -- at least not yet," added Nicole Bachaud, labor economist at ZipRecruiter. "In fact, based on our October 2026 Employer Survey of 1,500 employers, we see the tech industry (Information sector specifically) is actually the most likely to test for skills, with 62.5 percent of employers requiring formal skill tests on initial applications." "The change at Anthropic might be reflecting a shift away from technical skills towards more human, soft skills," said Bachaud. "As AI becomes fully capable of writing code, tech employers may be pivoting away from rote technical testing and heavily toward human-centric soft skills." She argues that while AI may be able to code well, it can't replace critical thinking. "A staggering 61.5 percent of Information employers now report that 'critical thinking' is a primary skill lacking in today's candidate pool," she said.

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An anonymous reader quotes a report from TechCrunch: Former Yahoo CEO and early Google engineer Marissa Mayer is catching a lot of flak for how she uses AI. In an interview about her new app Dazzle, an AI assistant that learns from your camera roll, Mayer poses what she believes is an impressive flex for the product: It helped her come up with three bullet points about her 10-year-old daughter for a birthday presentation at school, describing her as "empathetic, creative, and an animal lover." It's a vague description, like a generic horoscope -- it could probably describe a lot of 10-year-olds. Some onlookers, like progressive activist Leah Greenberg, marveled that "the fact that Marissa Mayer would voluntarily disclose this to a reporter is a pretty good demonstration of how deeply the culture of Silicon Valley has diverged from the rest of humanity." [...] After publication, Mayer defended herself in a long X post. She claims she was not relying on Dazzle to explain her child to her, but rather, she was testing what her prototype could do -- it resurfaced photos of "forgotten kindergarten projects," like a "snake devenomer" or "sandcat playground," illustrating her daughter's creativity and care for animals. Fair enough. But Mayer remarks in the same interview that people could also use her AI to outsource the mental load of "figuring out the theme for your child's birthday party." She says she's used her app to plan a playdate for her daughter, book family activities on vacation, and decide what to be for Halloween. She even proposes that her AI assistant could coordinate plans with her husband's AI assistant. When the reporter asks her if it's depressing to imagine this "frictionless future planned by AI," Mayer replies, "I haven't really thought that through." The bigger question is: What should we outsource to AI? "What feels like grunt work to someone might be a meaningful part of parenthood for someone else," says Fortune's Emma Hinchliffe. Michael Tasner, Founder and CEO of No Joke Marketing, adds: "Customers are drowning in AI slop, and they can spot it. Use AI for the low-stakes work behind the scenes. Keep the moments that matter to your customers human. Human connection is becoming the new premium."

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Ancient Slashdot reader Gilmoure shares a report from Tom's Hardware, adding: "Huh. Looks like consuming one's own slop does not turn the wheels of industry." From the report: Amazon wants its engineers to quit chasing token counts, warning that heavy AI usage does not automatically mean better work. In updated engineering guidelines published on October 27, the company laid out how developers and managers should gauge AI's real impact -- and the takeaway is blunt: consuming more tokens is not the same as delivering more value. [...] According to the memo, metrics such as AI adoption rates, token consumption, code changes, and code reviews become "deeply flawed" when they are disconnected from actual results. Turning them into targets, Amazon says, encourages wasteful behavior that clashes with its emphasis on "frugality and simplicity" and can raise both compute bills and software complexity. The company's preferred yardstick is long-term results. "We believe that it is best to measure, and be measured by, long-term outcomes," Amazon wrote. That does not mean managers should ignore usage data altogether, as input metrics remain useful when examined "with care and judgment" alongside other indicators. Amazon suggests looking at both the teams using AI the least and those using it the most to determine whether adoption is translating into better delivery. [...] The memo also pushes back on the idea that every task needs an AI tool. If current tooling does not benefit someone's work, Amazon says, that is "a finding, not a failing." Engineers who can explain where today's tools fall short are demonstrating judgment rather than reluctance to adopt AI.

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