Amplitude 借助 OpenAI 把产品迭代周期压缩到 1-2 天
How Amplitude ships product improvements in 1–2 days with OpenAI
Amplitude 用 OpenAI 模型做了个叫 Wave 的产品智能体，能自己找功能点、让编码智能体写代码、再自动看效果，整个迭代从数周缩到 1-2 天。做产品或想搭自动化工作流的团队可以直接抄这套三步闭环。
Amplitude 构建了主动式产品智能体 Wave，主要基于 OpenAI 模型打造。Wave 负责识别该做什么功能，配合编码智能体帮助团队完成改动，再自动衡量上线后的效果，把产品改进的完整周期压缩到 1-2 天。
工作流分三步：先由 Wave 分析用户行为数据找出值得做的改进点，接着用编码智能体生成并交付代码变更，最后回流真实使用数据验证影响。这套闭环让团队从“发现机会到验证效果”不再依赖数周的人工排期。
对产品团队和开发者来说，这是一个“模型 + 智能体 + 数据反馈”组合的落地样本，可参考其把分析、编码、度量串成自动化流程的做法。
How Amplitude ships product improvements in 1–2 days with OpenAI
Built primarily on OpenAI models, Amplitude’s proactive product agent, Wave, identifies what to build, helps teams ship changes with coding agents, and measures the impact.
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include OpenAI, Amplitude, Wave, 智能体.
Primary source verification: published directly by OpenAI Blog with first-party authority. Cross-source corroboration: 11 independent sources have covered this development (including Decoder, kimmonismus, Artificial Analysis), confirming industry-wide signal strength.
