我们在一天内用 AI 重写了 JSONata,节省了 50 万美元/年

📄 中文摘要

通过一个案例研究,展示了如何利用 AI 技术重写 JSONata 的 Go 语言实现。该项目被称为“vibe-porting”,旨在创建一个与 jq 类似的 JSON 表达式语言,广泛应用于 Node-RED 平台。项目的关键在于 JSONata 现有的测试套件,使得团队在仅用 7 小时和 400 美元的成本下构建出了第一个可用的 Go 版本。随后,Reco 团队进行了为期一周的影子部署,确保新旧版本并行运行,以验证新实现的有效性。

📄 English Summary

We Rewrote JSONata with AI in a Day, Saved $500K/Year

A case study illustrates the use of AI to rewrite JSONata in a custom Go implementation. This project, termed 'vibe-porting', aims to create a JSON expression language similar to jq, closely associated with the Node-RED platform. The key factor enabling this project was the existing test suite of JSONata, which allowed the team to build the first working Go version in just 7 hours and with a cost of $400. Subsequently, the Reco team conducted a week-long shadow deployment to run both the new and old versions in parallel, confirming the effectiveness of the new implementation.

Powered by Cloudflare Workers + Payload CMS + Claude 3.5

数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等