anthropics/original_performance_takehome

Anthropic's original performance take-home, now open for you to try!

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Summary Information

Updated 53 minutes ago
Type:Template / ExampleCategory(s):Interview Prep & AlgorithmsLearning & Resources
Added to GitGenius on September 16th, 2026
Created on January 19th, 2026
Open Issues & Pull Requests: 17 (+0)
GitHub issues: Enabled
Number of forks: 952
Total Stargazers: 4,166 (+0)
Total Subscribers: 27 (+0)

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Median issue/PR response: 4.3 hours
Mean response time: 9.1 days
90th percentile: 60.1 days
Tracked items: 7

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Open issues: 9
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 211 days
Stale 30+ days: 7
Stale 90+ days: 2

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Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

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Detailed Description

This repository is a performance take-home assignment that Anthropic has made publicly available for practice and evaluation purposes.

The assignment presents a coding challenge designed to assess performance optimization skills. It provides a concrete problem scenario where developers can demonstrate their ability to identify bottlenecks, optimize code, and improve system efficiency. The take-home format allows candidates to work through the problem at their own pace while being evaluated on the quality of their solutions and their reasoning about performance trade-offs.

Developers considering this repository should understand that it serves primarily as a practice tool for those preparing for technical interviews or assessments at Anthropic or similar organizations. It suits anyone wanting to sharpen their performance optimization skills in a realistic interview context. The assignment is particularly valuable for candidates who want to familiarize themselves with the specific style and expectations of Anthropic's technical evaluation process. Since this is Anthropic's actual take-home assignment made public, working through it provides direct insight into what the company values in technical problem-solving.

The project shows minimal ongoing development activity, which is appropriate for a static assignment resource. The repository appears to be maintained as a reference implementation rather than an actively evolving codebase, reflecting its purpose as a fixed evaluation tool rather than a production system or framework.