AI helps clear a major engineering backlog
Asana has shared a striking example of AI-assisted software development: the company used OpenAI Codex to replace an outdated testing system in just two weeks. According to the report, the same work had been expected to take around five years using traditional engineering resources.
The result is a powerful productivity win. For roughly $12,000, Asana was able to complete a large-scale modernization effort that might otherwise have remained stuck in the backlog. Testing infrastructure is essential but often difficult to prioritize, making this kind of acceleration especially valuable for software teams.
The story highlights how AI coding tools can help engineers move faster on necessary, high-impact maintenance work—not just flashy new features. By reducing the time and cost of technical debt projects, tools like Codex can free teams to focus more energy on product quality, reliability, and innovation.
- Speed: Two weeks instead of an estimated five years.
- Cost efficiency: About $12,000 for a major infrastructure upgrade.
- Real-world impact: A deployed engineering workflow improvement at a major productivity software company.