TL;DR
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A hiring manager at Anthropic says his team has removed data-structures-and-algorithms coding questions from its software engineering interviews because they did not help evaluate candidates. The account concerns that team’s process; the source does not establish that Anthropic as a whole has ended coding interviews.
A team led by an Anthropic hiring manager has stopped asking software engineering candidates coding questions, after concluding that its data-structures-and-algorithms interviews produced no useful hiring signal. The account, reported by The Pragmatic Engineer, describes a change within that team—not a confirmed company-wide policy—and raises questions about how AI companies assess engineering candidates.
The hiring manager, who has led work on Claude Cowork and Claude Desktop, described the change in a blog post by Felix Rieseberg. The report says the team removed coding questions focused on data structures and algorithms from its engineering recruitment process. It does not provide a detailed account of the replacement interview format or explain how the team evaluated the previous format.
The stated reason is that the interviews gave the team zero signal about candidates, according to the source material. That is the team’s assessment, not an independently measured finding about coding interviews generally. The report does not name the number of candidates involved, specify how long the team used the format, or provide hiring data comparing outcomes before and after the change.
The Pulse suggests the change could be followed by other teams at Anthropic or AI-focused startups, but presents that as a possibility rather than a confirmed plan. There is no evidence in the material that Anthropic has directed all of its recruiters or engineering teams to stop using coding interviews.
How Interview Practices Could Shift
The change matters because coding interviews are a common way for technology employers to screen software engineering applicants. If a team finds that a familiar test does not help distinguish candidates it wants to hire, dropping it could affect both what applicants are asked to do and which abilities employers prioritize.
At an AI company, the debate also touches on how to judge engineering work when developers can use AI tools. The source does not say AI use caused the team to abandon coding questions, nor does it describe a new AI-focused assessment. It reports a narrower conclusion: this team found its existing algorithm questions uninformative. Other employers considering similar changes would need to decide what evidence better reflects the work their engineers do.
For candidates, the immediate practical point is limited: interview expectations can vary between teams, even within a large company. The report does not establish that applicants to Anthropic generally will no longer face coding exercises.
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A Team-Level Hiring Change
The Pragmatic Engineer’s The Pulse is a roundup of developments in technology companies and startups. Its Anthropic item centers on a hiring manager’s account of the team’s process, rather than a formal corporate announcement. The manager’s work on Claude Cowork and Claude Desktop identifies the team’s connection to Anthropic products, but does not establish that the change applies to those products’ full organizations or to every engineering role.
The report places the interview change alongside other workplace developments, including Amazon incorporating AI use into engineering expectations and a separate company cutting AI spending. Those items do not provide evidence about Anthropic’s hiring policy; they are broader examples of technology firms reviewing how work and performance are evaluated.
Scope and New Assessment Methods
The available account does not specify which roles or candidates are covered, when the change took effect, or whether the team still uses other live coding tasks, take-home exercises, or technical interviews. It also does not explain what has replaced the algorithm questions or how the team now assesses engineering skills.
It remains unclear whether other Anthropic teams have made the same change, whether company leadership supports a broader shift, or whether any AI-native startups are adopting a similar approach. The report’s suggestion that others could follow is a forecast, not confirmation. No results are provided to show whether removing the questions has changed hiring decisions or candidate outcomes.
Whether Other Teams Follow
The next useful development would be clarification from Anthropic about whether this is an isolated team decision or part of a wider hiring approach. Further detail from the hiring manager about the replacement assessment and how the team judges candidates would also show what “zero signal” means in practice.
Until such information is available, candidates should not assume coding interviews have ended across Anthropic. The reported change is specific to one team’s process, and the source gives no timetable for a broader policy decision.
Key Questions
Did Anthropic end coding interviews company-wide?
No. The report describes a team-level change made by a hiring manager at Anthropic. It does not confirm a company-wide policy.
Why did the team stop asking coding questions?
According to the report, the team found its data-structures-and-algorithms interviews provided no useful hiring signal. The source does not include supporting hiring statistics.
What interview format has replaced the coding questions?
The source does not say. It gives no details about a replacement assessment or the team’s current technical interview process.
Does this mean other AI companies will stop coding interviews?
That is not confirmed. The Pulse says other teams or AI-native startups could follow, but presents this as a possibility, not a reported decision.
Source: newsletter.pragmaticengineer.com
