The Ledger
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Alberti: AI App Companies Must Encode Product Needs Into RL Feedback
“I think that's almost how I view like the future of application layer companies. Cause I mean, yeah, you see like the different, the labs are also now creating these like RL platforms and you can soon like customize models with RL on your personal, like on you…”
Alberti: Small numbers of manually curated evals beat large eval sets
“I think usually like small numbers of very high quality evals are the way to go and like we curate them manually and make sure they're really good.”
Alberti: Wiki pages are a better abstraction than pure RAG for codebase search
“If you just do like pure, like rack on like such a big base code files, it'll just be like pretty bad at a certain point, you know, on a single code base. Sure. I can see it, but Tens of thousands of code bases. It's tougher. But I think actually the wiki page…”
Alberti: Multi-Turn RL Enables Aggressive Code Optimization Over Single-Turn Models
“Basically the single-turn model that was just trained on, like, getting the best result after one turn. It would basically be a little bit, like, too careful, because it couldn't risk writing, like, non-compiling code, whereas, like, the multi-turn model would…”
Alberti: DeepWiki compute spend may break $1M soon
“So we think we should be now at like the high, like tens of thousands of repos. So I guess you can like do the rough map. Like we might be approaching quite significant numbers of compute spend here. I mean maybe we'll like break the million soon.”
Alberti: Folder structure graphs are poor representations of codebase architecture
“There are some, the simplest one is a folder structure graph, but unfortunately, it's, like, actually a pretty bad one because people sometimes just, you know, like, put all the components in this folder and all the servers in this folder.”
Alberti: Cognition built its own in-house vector database
“This culture of like building everything in-house. It's also kind of funny, like we, there's like a rack component to this. And I've been actually, I personally advocate, I can just like use a vector database and make life easy. But then there's a really stron…”
Silas Alberti: DeepWiki pairs AI codebase documentation with a research agent
“And I think it has like two components. It has the wiki itself, which is basically like AI generated Got documentation for any code base on GitHub, and then there's, like, the deep research agent that leverages both this, like, wiki, but also, like, any code f…”
Silas Alberti: DeepWiki scaled infrastructure for tens of thousands of developers
“I think the particular thing that we had to make happen for DeepWiki was, like, scaling up the infra so we could support, like, tens of thousands of open source developers at the same time. And I think also just, like, Making it be, there's like no sign up req…”
Alberti: 80% to 90% of DeepWiki users view pre-indexed popular repos
“So I would say, like, 80%, 90% of users just, like, check out one of the popular repos.”
Alberti: Devin updates codebase indexes on every commit for paid users
“If you like pay for Devin, for example, like we actually update it on literally every commit incrementally.”
Alberti: Over 1,000 GitHub projects added DeepWiki badges to their repositories
“There was more than a thousand projects already had The like deep wiki batch, which I thought was like super awesome to see like way more than I expected.”
Alberti: DeepWiki auto-updates documentation for free repositories displaying its badge
“So we just decided, okay, how about we just detect whether you have the wiki batch and then we'll keep it updated for you.”
Alberti: Setting up dev environments is Devin's highest onboarding hurdle
“So Devon actually needs, like, a full dev environment to be set up. And I think you guys probably both went through this when you onboarded with Devon. It's, like, probably, like, the highest friction onboarding point that we still need to, like,”
Alberti: Cognition is based in SF after early nomadic hacker houses
“We're actually mainly based here in SF. I mean, yeah, the founding mythology is, I think we were a nomadic company in the beginning. So we had hacker house in different places. I think the first one was actually in Burning Game. Then it was in New York, then b…”