---
格式版本: 2
标题: "Asana cleared 5 years of engineering work in 2 weeks with Codex"
原文链接: "https://openai.com/index/asana"
发布日期: "2026-09-07"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:scrape:provider_published_at"
发布时间证据: "provider publishedAt: 2026-09-07"
发布时间校准原因: "候选日期来自提供方元数据中的publishedAt字段，无其他冲突信息，可视为文章发布时间。"
发布时间校准置信度: "1"
发布时间候选数量: 1
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-09-07T22:58:39+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 2685
发现时间: "2026-09-07T22:06:43+08:00"
入库时间: "2026-09-07T14:58:42.851Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://openai.com/news/security/"
匹配关键词:
  - "performance"
  - "AI"
相关厂家:
  - "OpenAI"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 38
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是OpenAI官方客户案例：Asana使用Codex并行编码代理，在两周内以约1.2万美元完成Enzyme测试框架迁移，属于软件开发效率与应用层实践，不涉及超节点、AI机架、互连、供电、液冷或可复用的机架级基础设施机制。来源为产品厂商案例页，事实较完整但带有营销属性。固定知识库未见该案例，但未命中不能证明首次出现；本文可核验新增主要是项目周期、成本和四代理并行流程。最终命中应用与模型效率/非机架级应用强否决项，最高54分，不予准入。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-08T04:35:49+08:00"
AI主题相关性: 1
AI来源权威性: 12
AI新颖性: 12
AI技术细节: 2
AI商业部署信号: 2
AI完整性: 9
AI评分提示词版本: "v17-精简生产版"
AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d"
AI评分知识库版本: "knowledge_base_v1-20260819+runtime.87"
AI评分知识库SHA256: "93ca8fb8a4c1ba6cd0f932089fad55eb0ad588dfb335dc4bd8fb1ef642a34d31"
AI评分知识库检索词: "[\"OpenAI\",\"performance\",\"https://openai.com/news/security/\",\"RAS\",\"API\"]"
AI评分知识库命中: "[{\"id\":\"runtime-5581f72bc66fda8e6c6bf711\",\"title\":\"Advancing Standards-Based AI Fabric RAS Through COSMOS Integration\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-10\",\"matchedTerms\":[\"performance\",\"RAS\",\"API\"],\"rank\":-11.49661747997806},{\"id\":\"runtime-bf4039a0342d37545e9459a2\",\"title\":\"Most Neoclouds Suck At Security\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-30\",\"matchedTerms\":[\"OpenAI\",\"performance\",\"RAS\",\"API\"],\"rank\":-7.2062467371675565},{\"id\":\"july-correct-0065\",\"title\":\"AMD Pensando™ Vulcano 800 AI NIC: Built to Scale-Out and Across\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"performance\",\"RAS\",\"API\"],\"rank\":-7.097705938563722},{\"id\":\"july-correct-0077\",\"title\":\"AMD and OpenAI: Collaborating Across Every Layer of the Stack\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"performance\",\"RAS\",\"API\"],\"rank\":-6.948207767706443},{\"id\":\"runtime-3dcabc270e938e0c3b6d5245\",\"title\":\"Nvidia wants to bypass the CPU with an open-source AI storage overhaul\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-06\",\"matchedTerms\":[\"performance\",\"RAS\",\"API\"],\"rank\":-6.744470330244062}]"
AI摘要: "Asana 借助 OpenAI Codex，用约两周时间完成了原本预计耗时五年的测试系统迁移，彻底移除了陈旧工具 Enzyme。项目模型与基础设施成本约 1.2 万美元，远低于此前约 600 万美元的人员方案。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T21:43:54.515Z"
采集批次: "2026年9月7日22点05分18秒"
采集批次ID: "20260907-220517-361"
去重键: "https://openai.com/index/asana"
---

Using OpenAI Codex, Asana replaced an outdated testing system in two weeks for about $12K.

Company size: Enterprise

Region: North America

Industry: Technology

Products: Codex, API

2

Calendar weeks to finish work expected to take 5 years

$12K

Model and infrastructure cost versus Asana’s ~$6M staffing estimate

In about two weeks, Asana completed work it expected to take five years.

Asana helps teams coordinate work. Its platform uses AI agents and automations to help customers manage, track, and execute that work. Asana brings the same approach to its engineering organization, where people use OpenAI Codex, powered by frontier models, to tackle large codebase changes, then review and approve each proposed change.

For this project, Codex helped Asana’s engineers remove Enzyme, an outdated testing system that had made the company’s code harder to upgrade. Model and infrastructure costs came to about $12,000, compared with Asana’s roughly $6 million estimate for the previous staffing plan.

> “Not every years-long project will collapse into weeks. But agents can give engineers more room for craft—and make once-impossible work worth attempting.”

—Amritansh Raghav, Chief Technology Officer, Asana

Their old testing tool, Enzyme, had fallen out of active maintenance and was becoming a blocker to modernizing Asana’s frontend stack. Asana used Codex, powered by frontier models, to do the work. From a five-sentence prompt, up to four coding agents worked in parallel, each in a separate copy of the codebase. An engineer checked progress twice a day and reviewed every proposed change. Simpler instructions worked better than a more elaborate setup.

After 1.5 weeks of engineering effort spread across two calendar weeks, Enzyme was fully removed. Model and infrastructure costs totaled about $12K. For comparison: the previous plan was expected to take at least five years and estimated to cost roughly $6M. The experience changed which long-running software projects the company believes are practical to take on.

With this migration complete, Asana can test agents on other migrations, rewrites, and performance problems it once assumed would take years. The team hopes this will give engineers more room to focus on craft while people continue to review the work.

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