Library/original_performance_takehome
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anthropics/original_performance_takehome

original_performance_takehome

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

Builder

Anthropic

Anthropic

anthropics • ai-lab

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3,740

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Forks

855

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Activity Score

0/100

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Created

Jan 19, 2026

Project creation date

README Summary

This repository contains Anthropic's original performance optimization take-home assignment that was previously used in their hiring process. The challenge involves optimizing Python code performance through various techniques like algorithmic improvements, caching, and efficient data structures. It's now publicly available for anyone to practice performance optimization skills.

AI Dev Skills

Unmapped

Performance OptimizationSystem EngineeringAlgorithm OptimizationCode ProfilingTechnical Assessment Design

Tags

Performance OptimizationSystem EngineeringAlgorithm OptimizationCode ProfilingTechnical Assessment DesignDeveloper ToolsAI/ML Coding AssessmentPerformance Engineering PracticeTechnical Interview PreparationAlgorithm ImplementationAI/ML EngineeringSelf-hostedAI EngineeringEducationTechnical AssessmentPython

Taxonomy

Recent Activity

Updated 2 months ago

7 Days

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30 Days

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90 Days

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

Dev Tools & AutomationPrimaryLearning ResourcesOther AI / ML

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Jan 19, 2026
Forked
Mar 14, 2026
Your last push
2 months ago
Upstream last push
2 months ago
Tracked since
Jan 22, 2026

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