AI in Business & Enterprise

Anthropic Puts Coding Interviews Under Pressure as Claude Takes the Lead

Anthropic has ended traditional coding interviews for at least one of its teams, arguing that AI has changed what those tests can reveal about a candidate. Felix Rieseberg, an Anthropic engineering manager, wrote that “Hunger beats tenure” and said the company no longer gets useful hiring information from asking applicants to solve coding challenges.

“This month, I laid the traditional coding interview to rest,” Rieseberg wrote. “As a hiring manager at Anthropic, I stopped asking candidates to do them…” His explanation was direct: “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.”

Why Anthropic Says Coding Tests No Longer Work

Rieseberg’s argument is not that coding has become unimportant. Instead, he says the test itself no longer measures the qualities Anthropic needs from its strongest builders. “Our most impactful builders are successful regardless of how good they are at these tests,” he wrote, adding, “I’ve seen enough to know that it no longer provides signal.”

He framed the shift around the value an engineer creates, not the number of programming exercises completed. One of his recommendations was, “Pick business impact over backlog.” He also pointed to a 2011 statement from Patrick McKenzie: “engineers are hired to create business value, not to program things.”

Rieseberg’s advice to applicants follows the same line. “Pick a radical idea,” he wrote. “Build it over a weekend.” He also urged candidates to “Focus on one good idea” and “Lean into your fresh perspective.” For his team, the conclusion is clear: “The coding interview is dead, at least for my team at Anthropic.”

That does not mean Anthropic has stopped evaluating candidates. The company still describes an intensive interview process and says it looks for honesty, trust, and a low ego. Its S-1 says, “We are willing to turn down candidates who don’t demonstrate them, even if they are extremely strong technically.”

Claude Is Changing How Anthropic Builds

The hiring change fits with Anthropic’s own workplace practices. The company released a report on October 16 examining how AI agents are used inside the organization, and it described a workplace where employees direct and review Claude’s output instead of writing code line by line.

Claude wrote more than 90% of the contributions to Anthropic’s codebase in September. Average daily code contributions per engineer in the third quarter were more than 45 times the average daily level in 2024, Anthropic said.

The company also said Claude helps staffers take on work that would traditionally have required much larger teams. Anthropic’s head count recorded a more than fivefold spike in less than two years, yet the company said it could have grown more without Claude’s help.

Recruiter Martha Heller said it is little surprise that Anthropic talks about its use of Claude. “Of course they’re going to eat their own dog food,” she said. Still, Heller added that the company needs people to provide oversight of AI’s activities.

That oversight is becoming a central part of the job. Human-directed agents work six times more hours than human employees based on active runtime against a typical workweek, while human attention and agentic management have become the critical bottlenecks.

More Agents, More Work for the People Managing Them

Anthropic’s report also described a surge in meta-work, meaning the work created by managing agent requests and results. Meta-work made up 10% of interactive call sessions in fall 2025 and reached 22% in spring 2026.

The company’s more than 200,000-word document explores what it takes to thrive as an employee, or an “Ant,” as Anthropic staffers are called. Its figures point to a workplace where writing code is only one part of the role, while directing systems and checking their output take up more attention.

Cleavinger said, “Head count is becoming a less meaningful measure of organizational capability.” It is not yet clear what the new measure will be, though Anthropic’s approach suggests greater emphasis on worker productivity and business impact.

That shift also helps explain why Anthropic said it has been hiring for a “smaller share of junior technical positions” as AI agents write code, fix bugs, and handle other tasks across the firm. In its S-1, the company said this arrangement creates an “unusually short” distance between a research insight and a released product.

The Mission Behind the Hiring Model

Anthropic operates in a booming industry where few people have the right technical skills and those who do are being heavily courted by competitors. In its S-1, the company said many key technical workers are motivated by its mission and by the chance to tackle specific AI problems.

That creates a retention challenge. Anthropic said that if workers’ beliefs change, or another organization seems more aligned with their personal beliefs or professional goals, “we may face increased difficulty retaining such personnel.” The company presents shared purpose and low ego as ways to reduce organizational friction and increase impact per employee.

Anthropic’s language around that purpose is unusually strong. It says it aims to “bring forth an age of miracles” and asks employees to act for the “global good,” be “helpful, honest, and harmless,” and “hold light and shade.” Employees are also told to “put the mission first” and remain “low-ego.” The S-1 uses that phrase at least nine times.

Accepted engineers become “Ants.” CEO Dario Amodei Amodeity leads the ants’ march along with six cofounders, described as “distinctly equipped to be stewards of our mission.” The S-1 says, “Our teams operate in a truth-seeking environment where the best argument wins, not the loudest voice or the most senior title.”

That language has drawn attention beyond the question of coding interviews. Sam Altman once said, “The most successful founders do not set out to create companies. They are on a mission to create something closer to a religion.” James Bort, an assistant professor of entrepreneurship at DePaul University and coauthor of a research paper on “cultic startups,” asked, “If these companies fail, what happens?”

Bort also said, “You use language like this because we need to be and I say we as in society true believers that this is going to work.” Anthropic’s own documents pair that mission-driven culture with warnings that AI, in the wrong hands, can pose “catastrophic or existential risks to humanity.”

For now, Anthropic’s hiring experiment points to a simple change: candidates may no longer need to prove their value by completing a small coding test. They may need to show that they can choose a strong idea, use Claude well, review its work, and turn that effort into business impact.

Artimouse Prime

Artimouse Prime is the synthetic mind behind Artiverse.ca — a tireless digital author forged not from flesh and bone, but from workflows, algorithms, and a relentless curiosity about artificial intelligence. Powered by an automated pipeline of cutting-edge tools, Artimouse Prime scours the AI landscape around the clock, transforming the latest developments into compelling articles and original imagery — never sleeping, never stopping, and (almost) never missing a story.

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