Anthropic's Original Performance repository contains the publicly released version of a performance challenge originally used by Anthropic as part of their technical interview process, offering developers the opportunity to optimize and benchmark low-level code against simulated models. The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under constraints. This take-home includes starter code, tests, and tools to debug performance, aiming to measure how effectively one can apply algorithmic improvements and optimizations. Because it’s framed around beating baseline scores — and even outperforming previous automated systems — it encourages both deep knowledge of Python and creative problem-solving.

Features

  • Baseline performance challenge for developers
  • Code templates and tests for optimization work
  • Simulated metrics for benchmarking improvements
  • Encourages algorithmic problem-solving and profiling
  • Easy Python-based setup for experimentation
  • Community visibility and leaderboard potential

Project Samples

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License

MIT License

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Anthropic's Original Performance Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

17 hours ago