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A hiring manager at Anthropic said their team no longer asks software-engineering candidates coding questions focused on data structures and algorithms, citing a lack of useful signal. The report does not establish that Anthropic has changed hiring company-wide; other teams may reach different conclusions.
A team at Anthropic has stopped asking software-engineering candidates data-structures-and-algorithms coding questions after concluding the interviews provided no useful hiring signal, according to The Pragmatic Engineer. The account comes from a hiring manager who has led work on Claude Cowork and Claude Desktop; it describes that team’s process, not a confirmed company-wide policy.
The report says the team removed this category of coding question from its engineering recruitment process. Its stated reason is that the questions did not help the team assess candidates reliably. The source does not provide interview data, a formal evaluation of the process or details of the alternative assessment used in its place.
The change matters because algorithm-focused coding exercises have been a familiar part of software-engineering hiring. Their removal at one team within a prominent AI company may prompt other employers to revisit what interviews measure, particularly as software development practices change. But the report presents broader adoption as a possibility, not an announced plan: it says other Anthropic teams and AI-native startups could follow.
The Pragmatic Engineer included other workplace and technology developments in the same edition of The Pulse, including changes to AI spending and employee expectations at other companies. Those are separate items; they do not establish why Anthropic’s team changed its interviews. The account specifically concerns the team’s recruitment method and the manager’s reported assessment of its usefulness.
A Narrow Change With Wider Hiring Stakes
The report puts a practical question about technical hiring back in focus: what does an interview exercise actually predict about someone’s ability to do the job? If a team finds that algorithm puzzles do not distinguish strong candidates, dropping them could change how applicants prepare and how interviewers use limited hiring time.
That does not mean the team has stopped evaluating coding ability or technical judgment. The available account only says it stopped asking coding questions of the data-structures-and-algorithms kind. Without information on the replacement process or its results, the change cannot yet show whether another interview format works better.
For candidates, the immediate takeaway is limited: this is evidence of one team’s process, not a guarantee that Anthropic or other technology companies have abandoned coding interviews. For employers, the report may encourage scrutiny of whether a familiar assessment reflects the work candidates would actually perform.
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The Scope of Anthropic’s Change
The development appears in The Pulse, a series from The Pragmatic Engineer covering events and trends in technology companies. Its description says an Anthropic team found it got “zero signal” from data-structures-and-algorithms interviews and removed them from its engineering recruitment process. That wording is the report’s characterization of the team’s experience, not a published company-wide finding.
The account is tied to a hiring manager who has led Claude Cowork and Claude Desktop. The source material does not identify the team’s size, the date the change took effect, how long the previous interview format was used or whether hiring outcomes were compared before and after. Those gaps limit conclusions about how broadly the decision applies or what prompted it beyond the reported lack of useful signal.
The report suggests the decision could influence other teams at Anthropic and other AI-native startups. That is a forecast about possible adoption, not confirmation that those organizations have made similar changes. No additional policy announcement or response from Anthropic is included in the supplied report.
How Far the Policy Reaches
The available report does not say whether Anthropic has changed its company-wide hiring policy, whether other teams have followed, or whether the decision applies to every engineering role in the team. It also does not describe what assessments replaced the coding questions, if any.
The team’s conclusion that the interviews provided no useful signal is reported but not supported in the source with sample sizes, hiring outcomes or a method for measuring interview value. The date of the change and any plans to review its results are also not provided. The claim should therefore be understood as a team-level account rather than proof that coding interviews are ineffective in general.
Watch for Broader Hiring Changes
The next useful developments would be confirmation from Anthropic about the scope of the change, details of how the team now evaluates engineering candidates and whether other teams adopt the same approach. The report does not announce a company statement, a rollout timeline or a follow-up assessment.
Until more information is available, the change is best read as one hiring team’s decision based on its experience with a particular interview format. Whether it leads to a wider shift will depend on decisions by other teams and employers, none of which are confirmed in the source.
Key Questions
What did the Anthropic team change?
The team stopped asking software-engineering candidates coding questions focused on data structures and algorithms, according to The Pragmatic Engineer.
Why did the team stop using those questions?
The report says the team found the interviews provided no useful hiring signal. It does not include the underlying data or a detailed explanation of how that judgment was reached.
Has all of Anthropic dropped coding interviews?
The source describes a team-level change. It does not confirm that Anthropic has changed its company-wide hiring process.
What interview format replaced the coding questions?
The report does not say whether the team adopted a replacement assessment or describe how it evaluates candidates now.
Are other AI companies making the same change?
The report says other Anthropic teams and AI-native startups could follow, but it does not identify any that have confirmed a similar policy.
Source: newsletter.pragmaticengineer.com
