We are developers who got tired of rewriting the same AI infrastructure.
RocketRide started as an internal tool to stop repeating ourselves. It became an open source project when we realized everyone building production AI pipelines was hitting the same walls. Now it is maintained by a community of engineers who want a shared, reusable, inspectable foundation to build on.
It started with a petabyte-scale data problem
The core engine behind RocketRide was originally built to handle petabyte-scale data processing at a company that could not afford pipelines that broke. Concurrency, backpressure, and stage isolation were not features added later. They were requirements from day one.
When AI coding agents started entering the workflow, the brittleness problem got worse. Agents generated code that worked in demos and fell apart in production. Not because agents are bad, but because there were no shared patterns to build on. Every project reinvented the same infrastructure.
Why we open sourced it
We open sourced RocketRide to give agents and the developers working alongside them a stable, inspectable layer they could actually rely on.
The engine is self-hostable and free to run anywhere. The code is public on GitHub, and that is the place to read the source, file an issue, or contribute.
The goal is not to lock anyone in. The goal is to make the foundation boring so teams can focus on what is actually interesting.
Work with us
If building this kind of tooling sounds like your kind of work, we would like to hear from you.
