I'm interested in knowing more about the company itself. How many people is/was it? Were they working all in an office together or local-remote, or fully globally distributed? Was the focus massive scale, or ultra-low latency (for agent iteration), or agent-first (but human in the loop) usecases that could be enabled by having core control of a git service and the wrappers around it?
I read good things about their diffs library: https://diffs.com/
Whenever I see this acquires or hiring of successful products founders or teams by big labs I ask myself if, apart for the usual obvious reasons that any non ai model company would want them, they are also reusing this human talent to build the dataset of "how the sausage is made".
>Git infrastructure at scale
>Code.Storage powers the largest agentic workloads in the industry to store code and other machine generated artifacts at scale using git.
>Lovable, Poke, Anything, Bolt, Amp, Parahelp, and many others rely on Code.Storage to store their generated code, memory files, design artifacts, legal documents, and other product files and resources that change over time.
what else is left out there to build and get bought
nooooo.
I mean good for the team, I'm sure they will make out quite nicely.
But it was really great to see high quality OSS being extracted from their enterprise-focused https://code.storage/ service. Not I imagine the oss updates and new libs will decline, maybe not right away, but eventually, especially as they get rolled into whatever the product-offering of the week is that altman cooks up.
Oh well. so it goes
Musk envy. Cursor was also building large scale git infrastructure. Pierre Computing does the same.
All these companies need success stories but only end up making dev tools, a notoriously unprofitable market. The corporate market is already saturated with LLMs/agents because of the dictatorial forced rollout, so there is actually no growth in sight at all.
Refreshing, compared to "our journey" and "our mission" slops
I wish these "acquired by" announcements started with an explanation of what the startup was in the first place.
I had never heard of them before and have no clue what they do or why OpenAI wanted to buy them.