Asana Replaced 5 Years of Engineering Backlog in Two Weeks Using OpenAI Codex — at a Cost of About $12,000
The short answer
A case study from OpenAI shows Asana completed a testing system overhaul in two weeks that engineers estimated would take five years, spending roughly $12,000 in the process. Most small businesses carry some version of a technical backlog — outdated internal tools, unmaintained spreadsheets, or aging software setups no one has had time to modernize.
- OpenAI Codex
- AI coding
- technical debt
- cost savings
- automation
What happened
Asana, the project management software company, used OpenAI's Codex to replace an outdated automated testing system that had accumulated years of deferred maintenance. According to OpenAI, the work — previously estimated to require five years of engineering effort — was completed in two weeks at a cost of approximately $12,000.
The case study points to an emerging use of AI-assisted coding that goes beyond building new features: clearing backlogs of legacy work that would otherwise sit untouched indefinitely. Codex generated replacement code at a scale that would have been impractical to commission through traditional engineering hours alone.
What it means for your business
Most small businesses carry some version of a technical backlog — outdated internal tools, unmaintained spreadsheets, or aging software setups no one has had time to modernize. This case study suggests AI coding tools can now address that kind of debt at a fraction of the cost and time previously assumed. If you have a software vendor, IT contractor, or developer on retainer, it is worth asking whether AI-assisted tools are part of their workflow and whether that efficiency should be reflected in their quoted timelines or rates. For businesses running their own technical infrastructure, tools like Codex are accessible through the OpenAI API and ChatGPT. The $12,000 figure applies to a software company with experienced engineers reviewing every output — your cost and results will depend heavily on who oversees the process.
Source: OpenAI