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

OpenAI's Codex enabled Asana to complete an estimated five years of engineering work in just two weeks for $12,000, replacing an outdated testing system. The project demonstrates that large-scale legacy codebase migrations can be executed rapidly and cost-effectively, reducing refactoring costs by 100x, though Codex has current limits on context and determinism.

OpenAI https://openai.com/index/asana Asana cleared 5 years of engineering work in 2 weeks with Codex Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated. Replacing an outdated testing system estimated to take five years of manual labor was completed in just two weeks for $12,000 using Codex. This shifts large-scale legacy codebase migrations from multi-year, budget-killing roadmaps into cheap, automated tasks you can deploy immediately. Engineers running production systems can now aggressively target and refactor ancient, mission-critical technical debt that was previously deemed too expensive or risky to touch. OpenAI Codex let Asana rewrite its entire test harness in two weeks for ~$12K instead of five engineer-years. This means any team maintaining legacy test suites can now slash refactor costs by 100x and ship modern, maintainable code without multi-year roadmaps—if they’re ready to accept Codex’s current limits on context and determinism.