Asana cleared 5 years of engineering work in 2 weeks with Codex
- ID
- 15242
- Status
- summarized
- Published
- 18 Aug 2026, 3:00 PM
- Fetched
- 19 Aug 2026, 12:54 AM
- Provider
- OpenAI News
- Category
- ai-labs
- Original URL
- https://openai.com/index/asana
- Source URL
- https://openai.com/news/rss.xml
Summary
- Score
- 6.5
- Created
- 19 Aug 2026, 12:56 AM
- Tags
- Audience
- developersai_agent_usersvibe_coders
What happened
Asana used OpenAI Codex to remove Enzyme, an unmaintained testing framework blocking frontend modernization, in 1.5 weeks of engineering effort across 2 calendar weeks for ~$12K in model/infra costs—versus a prior estimate of 5 years and ~$6M in staffing. Up to 4 coding agents ran in parallel on separate codebase copies, launched from a five-sentence prompt, with an engineer reviewing progress twice daily. Asana's CTO Amritansh Raghav cautioned that not every long project will compress this dramatically.
Why it matters
The concrete workflow details—simple five-sentence prompts outperforming elaborate setups, parallel agents on separate codebase copies, human review twice a day—are a usable blueprint for tackling large legacy migrations with AI agents. The $12K vs $6M cost gap is vendor marketing, but the pattern of decomposing a years-long refactor into agent-parallelizable chunks is worth testing on your own technical-debt backlog.
Discussion angle
What kinds of legacy migrations in your own codebase could be decomposed for parallel agent execution, and where would the human-review bottleneck actually fall?