jacobross

That’s impressive. I have an extremely long chat with Claude that I did about a month ago discussing an idea very similar to this. Obviously an idea is worth next to nothing compared to what you and the team have created here but it’s becoming a genuine obsession of mine. Will Brown’s talk recently on RL ignited this even further given what he explained.

I’ll jump in this weekend.

Part of me wishes I did CS instead of learning SWE. There’s so much to uncover in RL and jumping straight in at the top feels like the wrong strategy to learn effectively.

I love the idea, love the platform. I’ll be keeping a close eye on how you guys go.

If you need a Technical Product Manager, let me know! I’m currently an Artificial Intelligence Lead at a hardware-enabled SaaS company but genuinely believe RL and agents will be the next step towards AGI.

Man, this is awesome. I've been obsessed with this idea since reading up on end-to-end RL used in reasoning models and OpenAI using it with Deep Research.

Seems like the most powerful agents will make use of some form of RL or advanced learning.

I'm not from an ML/DL background but these ideas are fascinating and I've begun self-teaching myself some RL.

I'm curious as to how long this took to build and any advice for someone wanting to learn more about RL in this context?

Thanks!

I have to preface my comment by saying I am reasonably technical but not an engineer by any stretch. I find this comment fascinating and it seems to highlight some issues I face in my own organisation (tech/design professional services company). We build apps and platforms for enterprise clients and often struggle with predicting a lot of parts of our software.

I might have a poor understanding of your comment but could you expand on the ideas behind solvers and what they are? What data do they ingest from a company building software and how did the solver you build work (in layman's terms)?

Thank-you!