I've been writing software for a while. I'm comfortable at every layer of the stack. When AI started becoming something you could actually ship into production applications, I did what most engineers do: I built it myself.
First project, not bad. Pick a model, call the API, handle the response. Clean enough. I understood exactly what was happening at every step.
Then the requirements got more complex. I needed multiple models in the same workflow. I needed a document parsing layer upstream of the LLM. I needed the output to land in a database instead of just getting returned to the client. Suddenly I was writing a lot of code that had nothing to do with the problem I was actually trying to solve. Glue code. Wiring. Infrastructure that existed purely to move data between components that were never designed to talk to each other.
I accepted that as the cost of doing business. This is just what building AI features looks like, I told myself.
I’m really glad that the C++ engine’s source code has been open-sourced as a monorepo. A unified, transparent infrastructure is the right way to build trust for both usage and development.
@stepmikhaylov Transparency is incredibly important. Being able to see what the code actually does is a great way to build trust in your systems. We strongly believe this will strengthen our position and give our users far more trust in us going forward.
This is one of those launches that makes you immediately want to open your IDE and try it. Clean concept, strong dev focus, and the model-swapping flexibility is a huge win.
@alexandru_sclearuc Absolutely! Give us a try in whatever IDE you're using and tell us your thought. If you support what we're doing, show your love by upvoting our launch, and giving our repo a star on GitHub.
I’m really excited to see RocketRide live 🚀
Coming from a UI/UX and developer experience background, what stood out to me immediately is how the interface lets me focus on the flow instead of the plumbing. I don’t have to keep rebuilding the same integrations or mentally track how everything connects. I can actually see what services and I using and how my pipeline is doing from start to finish, which saves a lot of time and removes friction. I can even let my coding agent, build a pipelines for me as it understands and has knowledge around how to interconnect and compose pipelines for my project.
There’s still a lot of exciting features and integrations to make it even more intuitive for developers at any level. The goal is to make getting started with AI feel obvious and seamless, not overwhelming.
Super excited for what’s coming next and would love to hear what everyone thinks!
This is awesome! I am so happy to launch this product into open source after years of development. This product finally makes embedding AI into applications as easy as drag and drop. Looking forward to working with you all on improving this even more!