
Worked on the pmndrs/jotai repository to expand and enhance the benchmark suite for store operations performance evaluation. Replaced three basic benchmarks with eight scenario-driven tests, covering areas such as atom-creation throughput, batch read/write, deep derived-chain propagation, and subscription churn. Developed a run-all script and integrated a bench command into the workflow, making it easier to execute comprehensive performance tests via pnpm. Leveraged TypeScript for implementation, focusing on benchmarking and performance testing. The improvements enabled scalable evaluation across store sizes from 10² to 10⁶, providing more reliable data for optimization and supporting cross-team performance-focused decision making.
March 2026 monthly summary for pmndrs/jotai: Delivered a significant enhancement to the benchmark suite for store operations performance evaluation. Replaced three simple benchmarks with eight comprehensive scenarios to broaden coverage, including atom-creation throughput, batch read/write on mounted atoms, deep derived-chain propagation, 1→N recompute performance, diamond dependency updates, subscribe/unsubscribe churn plus subscribe-write scaling, cached derived reads, and partial atom selection. Implemented a run-all script and a bench command to execute all benchmarks end-to-end, and added a bench script to package.json for convenient usage via pnpm bench. This work provides richer, scalable performance signals from 10^2 to 10^6 store size, enabling more accurate optimizations and capacity planning. The changes improve benchmarking reliability, reproducibility, and cross-team value for performance-focused decision making.
March 2026 monthly summary for pmndrs/jotai: Delivered a significant enhancement to the benchmark suite for store operations performance evaluation. Replaced three simple benchmarks with eight comprehensive scenarios to broaden coverage, including atom-creation throughput, batch read/write on mounted atoms, deep derived-chain propagation, 1→N recompute performance, diamond dependency updates, subscribe/unsubscribe churn plus subscribe-write scaling, cached derived reads, and partial atom selection. Implemented a run-all script and a bench command to execute all benchmarks end-to-end, and added a bench script to package.json for convenient usage via pnpm bench. This work provides richer, scalable performance signals from 10^2 to 10^6 store size, enabling more accurate optimizations and capacity planning. The changes improve benchmarking reliability, reproducibility, and cross-team value for performance-focused decision making.

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