
What happened
OpenAI said it rewrote its Habitat storage platform from Python to Rust in Q2 2026 with 2 engineers, Codex, and GPT-5.5. The Rust service handles 95% of production requests and is 6x more CPU efficient.
Why it matters
Habitat now handles over 70 million requests per second for more than 1 billion weekly users across almost 40 regions, up from a single-database Python library two years ago.
What to watch
OpenAI says it will deprecate Python entirely in the coming weeks; the test is whether the Rust service keeps the same reliability. Watch the promised future post on multi-tenancy and Azure Cosmos DB scaling.
WHO IT HITSEngineering leaders at companies running large-scale online services get a concrete data point on rewriting performance-critical Python services in Rust, with OpenAI reporting 6x CPU and 15x memory efficiency gains. OpenAI's own product teams are the immediate beneficiaries, since the platform handles 95% of production requests.
Summaries like this, every morning.
Habitat began in mid-2024 as a simple Python client-side library that interacted with ChatGPT's main server and Azure Cosmos DB. It saw rapid adoption among OpenAI product engineers, with no central push away from self-serve Postgres and Azure Cosmos DB. By the middle of 2025, it had reached its limits as a client-side implementation, as backward-compatible protocol changes had become infeasible and coordinating deployments across dozens of services took days.
OpenAI then pulled Habitat into its own service, accepting Python's performance trade-offs as a "strategic incursion of technical debt" to unblock product developers and achieve platform stability. The team made a calculated wager that rapid advancement of OpenAI's own coding models would simplify an eventual migration off Python, and OpenAI says that bet proved correct. In Q2 2026, with just 2 engineers, Codex, and GPT-5.5, the entire service was rewritten in Rust.
The outcome now hinges on whether the Rust service can maintain the reliability OpenAI says it needs while handling 95% of production requests, and whether the promised deprecation of Python proceeds as stated. OpenAI says it will share more learnings in a future blog, including on multi-tenancy reliability and scaling Azure Cosmos DB.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Regal Voice Inc. launched Goal Oriented Agents, which run an actor model that replies right away and a directo…
Oracle signed deals to bring Google's Tensor Processing Units, Cerebras chips, and SambaNova's SN50 processor…

A US SEC filing dated Oct 26, 2026 shows Anthropic posted about $16.3 billion in first-half 2026 revenue, incl…

A scaled-down re-test of arXiv:2610.30755 found overwriting memory answered historical questions only 16.67% o…

AI Security Lab ran ten tests (PI-062-01 to PI-062-10) on a mock internal RAG setup; after department-and-role…

Vercel CEO Guillermo Rauch said developers should not read every line of AI-written code, but should understan…
