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For people out there making AI agents, how are you evaluating the performance of your agent?

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Fuck fascism. Make fast websites.

Writing Slow Code (On Purpose)

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Structured logging in .NET with NativeAOT

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Hako: an embeddable, lightweight, secure, high-performance JavaScript engine.

I built a GPU kernel that sums 100,000+ irregular arrays with no CPU coordination. One call. No reshape. No sync. It just works.

PaperMC

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Paper

The most widely used, high performance Minecraft server that aims to fix gameplay and mechanics inconsistencies

DiceDB

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dice

DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware.

pola-rs

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polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

google

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flatbuffers

FlatBuffers: Memory Efficient Serialization Library

grafana

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pyroscope

Continuous Profiling Platform. Debug performance issues down to a single line of code

bytedance

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sonic

A blazingly fast JSON serializing & deserializing library

google

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highway

Performance-portable, length-agnostic SIMD with runtime dispatch

fastfetch-cli

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fastfetch

A maintained, feature-rich and performance oriented, neofetch like system information tool.

apache

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doris

Apache Doris is an easy-to-use, high performance and unified analytics database.