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Anthropic manager stops coding interviews because Claude is better at them

An engineering manager at Anthropic is moving away from traditional coding tests, arguing that AI now performs these tasks more effectively than humans.

The short version

Why it matters

This signals a major shift in how tech companies might evaluate human talent in an AI-saturated workplace. It suggests that 'knowing how to code' is becoming less important than 'knowing how to direct AI' to solve complex problems.

The end of the coding test

Felix Rieseberg, an engineering manager at Anthropic, recently shared a blog post detailing a significant change in his hiring process. He announced that he has officially stopped requiring job candidates to complete traditional coding interviews. This move comes as the company's own AI, Claude, continues to demonstrate a superior grasp of programming tasks.

Rieseberg explains that the old model of testing a candidate's ability to write code is no longer a meaningful way to judge their skills. He argues that because the company's product already codes better than any human it could hire, the assessment has lost its utility. He compares the current state of coding challenges to quizzing someone about assembly language, suggesting it is an outdated metric for modern work.

The decision reflects a growing sentiment that the barrier to entry for writing functional code has been lowered by generative AI. By removing these tasks, Rieseberg aims to find a more accurate way to measure a candidate's actual value. He believes that the focus should shift from the mechanics of typing code to the higher-level logic of building products.

From syntax to strategy

Instead of looking for perfect syntax, Rieseberg is looking for engineers who can act as agents of change within a company. He suggests that the new standard for a successful hire involves a demonstration of a project that was prompted and finessed using AI. This approach values the outcome of a prototype over the manual labor of writing every line of code from scratch.

The manager is now scanning resumes and portfolios for evidence of specific human traits that AI cannot easily replicate. He is looking for candidates who exhibit taste, empathy, and principled thinking in their work. These qualities are intended to distinguish a thoughtful engineer from someone who simply follows instructions without understanding the broader context.

Rieseberg encourages junior engineers to approach their careers with a new attitude that prioritizes making an impact. He suggests that rather than focusing solely on technical mastery, they should take the time to understand the people and the company they are joining. The goal is to find individuals who can navigate complex human environments while using AI to handle the heavy lifting of production.

The role of junior engineers

For junior developers, this shift changes the advice typically given at the start of a career. Rieseberg notes that 'hunger beats tenure' and encourages those early in their careers to be proactive. He wants to see people who can take radical ideas and turn them into functional prototypes over a weekend using AI tools.

This new philosophy suggests that the ability to

The philosophy of ignorance

Rieseberg draws an interesting parallel between professional confidence and the willingness to try new things. He quotes the actor and director Orson Welles, who suggested that "Ignorance, sheer ignorance — you know there’s no confidence to equal it." This perspective suggests that a lack of preconceived notions can actually be a strength when entering a new field or adopting new technologies.

By applying this to the current state of AI, the manager implies that being unimpressed by traditional methods allows for a more open approach to hiring. Instead of being timid or careful because of what is "known" about the profession, he is looking for people who can embrace the shift toward AI-driven development. This mindset helps identify candidates who are ready to adapt to a world where the old rules of coding no longer apply.

About the reporting

The reporting on this shift in hiring practices was provided by Christian Cawley, a writer and editor with deep experience in IT and consumer electronics. He has been a contributor to TechRadar since 2017 and has also published work in various other outlets, including Computer Weekly, Linux Format, and ComputerActive. His background provides a broad context for how these technological shifts impact the wider tech industry.

In addition to his work at TechRadar, Cawley currently heads the team at the smart home website Matter Alpha and writes about retro gaming at Gaming Retro. For readers seeking more professional guidance and news on how these trends affect the business world, TechRadar offers a Pro newsletter. This subscription provides top news, opinion, and features designed to help businesses succeed in a rapidly changing landscape.

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First reported by TechRadar · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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