@otterpal24: Two programmers plus hundreds of agents can rewrite a storage layer, in two months' time, the capability amplification …

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摘要

Two programmers, assisted by hundreds of AI agents, rewrote Perplexity AI's storage layer in two months, achieving 100x capability amplification and significant cost and latency improvements.

Two programmers plus hundreds of agents can rewrite a storage layer, in two months' time, the capability amplification that AI brings to programmers is truly 100x.
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Two programmers plus hundreds of agents can rewrite a storage layer, in two months’ time, the capability amplification that AI brings to programmers is truly 100x.

meng shao (@shao__meng): CobbleDB 深度解读：Perplexity 为什么重写 AI 搜索的存储层

@perplexity_ai 用「一个热存储（CobbleDB）+ 一个持久状态层（Pillar）+ 一个批量投递层（Lorry）」的三件套替换了 DynamoDB，把批量读延迟降低约 5 倍、成本降低至少 20%，而这套约 4 万行 Rust 的系统由 2 名工程师 + 数百个 AI Coding

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@injaneity: https://x.com/injaneity/status/2075659478096376158

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本文解释了批处理和并行操作如何改善AI计算机使用系统中的延迟和效率，重点介绍了pi-computer-use和cua-driver等开源实现，它们在Codex出现类似功能之前就取得了显著的性能提升。