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·6天前·官方发布 · RSS

Asana cleared 5 years of engineering work in 2 weeks with Codex

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AI 摘要

Asana 利用 Codex,在短短两周内完成了一个原预计耗时五年、成本约 600 万美元的重大工程项目。该公司成功移除了 Enzyme,仅花费约 1.2 万美元的模型和基础设施成本。这种快速完成改变了 Asana 对实际长期软件项目的看法,使他们能够考虑以前认为过于耗时的类似迁移和重写。团队预计这将使工程师能够更专注于工艺,同时继续审查工作。

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For this project, Codex helped Asana’s engineers remove Enzyme, an outdated testing system that had made the company’s code harder to upgrade.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.