Realtime AI News
Asana cleared 5 years of engineering work in 2 weeks with OpenAI Codex — for about $12K
OpenAI published a customer story showing Asana used Codex to replace an outdated testing system in two weeks — work originally expected to take five years — for about $12,000. The case marks a shift for coding agents from assisting developers to executing large-scale engineering overhauls.
On August 18, OpenAI published a customer story detailing how Asana used Codex to complete a striking engineering feat: replacing its outdated testing system in two weeks, work originally expected to take five years.
According to the case study, the whole overhaul cost about $12,000. Asana, the project management SaaS company, had long been weighed down by its legacy testing infrastructure.
With OpenAI Codex, Asana compressed five years of estimated work into two weeks, collapsing a modernization project into a very short window.
The story is published by OpenAI itself and stands out because previous Codex use cases focused on assisting roles — generating code or fixing bugs — whereas this one is a full legacy-system overhaul.
For Asana, the economics are dramatic: five years of engineering time and cost reduced to two weeks and roughly $12,000 in spend.
The industry significance is that AI coding agents are starting to take on "impossible" engineering tasks, which could sharply lower the cost of cleaning up enterprise technical debt.
Watch next: whether similar legacy overhauls can be replicated at other companies, how fast Codex penetrates the enterprise market, and how much trust developers place in AI-driven rewrites of core systems.
Why it matters
Coding agents are moving from assistants to executors of large-scale engineering overhauls, sharply lowering the marginal cost of retiring enterprise technical debt — Codex's enterprise adoption rate is worth tracking.
Nearby Updates
All08/18, 15:17
Alibaba's Qwen Office Integrates with WeChat Work, Covering All Three Major Office Platforms
Starting August 18, Alibaba's AI office product Qwen Office has officially integrated with WeChat Work, completing coverage of China's three major office platforms after DingTalk and Feishu. Around the same time, WeChat Work upgraded its AI open capabilities to support mainstream agents and opened ten office capabilities to third-party AI assistants.
08/18, 15:33
DarwinMind's Spellcaster: six AI agents that build, playtest and fix games
AI-generated games often run yet remain unplayable, a problem DarwinMind's Spellcaster tackles with a team of six specialized agents. The system loops through generation, playtesting and fixing, turning a one-line prompt into a playable prototype in about 15 minutes.
08/18, 14:00
NVIDIA unveils $600B AI factory opportunity with up to 1.5M GPUs per site
NVIDIA has unveiled a $600 billion business opportunity around AI factories, where a single factory can demand up to 1.5 million GPUs, according to a 36Kr report. The company frames AI factories as the defining infrastructure of the AI era, arguing that compute is revenue and that they require chips, packaging, memory, networking, land and power.
08/18, 16:01
Alibaba Cloud turns Agent Studio into an all-in-one enterprise agent stack
Alibaba Cloud has repositioned Agent Studio as an all-in-one enterprise agent stack rather than a mere agent builder, according to Pandaily. The move signals the cloud giant's broader platform ambitions in the enterprise AI agent space.