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