`/init` is good enough.
Model improvements will take care of the rest.
Ex-GitHub CEO launches a new developer platform for AI agents
311–320 of 625 posts
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#312The thread is missing the forest for the trees. The interesting bet here isn't git checkpoints—it's that someone is finally building the observability layer for agent-generated code. Most agent frameworks (LangChain, Swarm, etc.) obsessed over orchestration. But the actual pain point isn't "how do I chain prompts"—it's "what did the agent do, why, and how do I audit/reproduce it?" The markdown-files-in-git crowd is r…
It's not this, it's that?
verbatim llm output with little substance to it.
HN mods don't want us to be negative but if this is what we have to take serious these days it is hard to say anything else.
I guess I could not comment at all but that feels like just letting the platform sink into the slopacolypse?
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#313> Checkpoints are a new primitive that automatically captures agent context as first-class, versioned data in Git. When you commit code generated by an agent, Checkpoints capture the full session alongside the commit: the transcript, prompts, files touched, token usage, tool calls and more. This thread is extremely negative - if you can't see the value in this, I don't know what to tell you.
Sure... you `git add` the context text generated by AI and `git commit` it, could be useful. Is that worth 60 million?
We have had this for ages now.... I just don't have access to the sort of people willing to pass me 60m for that. I never thought it to be worth anything really ; it was a trivial to implement afterthought.
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#314Re: Ex-GitHub CEO launches a new developer platform for AI agents
#315The thread is missing the forest for the trees. The interesting bet here isn't git checkpoints—it's that someone is finally building the observability layer for agent-generated code. Most agent frameworks (LangChain, Swarm, etc.) obsessed over orchestration. But the actual pain point isn't "how do I chain prompts"—it's "what did the agent do, why, and how do I audit/reproduce it?" The markdown-files-in-git crowd is r…
It's not this, it's that?
Yes—it is!
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#316Earlier quoted context omitted.
I wouldn't wanna be in the rat race myself, but I know people who salivate at the opportunity to create some popular dev tool to get acquired by MS, Google or Amazon or whichever of the big tech companies that decide this could work well in their cloud ecosystem.
HNites are hilarious. On the one hand they think these things provide 1337x productivity gains, can be run autonomously, and will one day lead to "the first 1 person billion dollar company". And in complete cognitive dissonance also somehow still have fantasies of future 'acquisition' by their oppressors. Why acquire your trash dev tool? They'll just have the agents copy it. Hell, you could even outright steal it, be…
I think there are 2 parts here. That persona you’re describing (startup cofounder or engineer being paid mostly in equity) is a good subset of the people here. If I had to pull a number out of my shiny metal ass, I’d say it’s 30%. Those people both loath big tech, and dream of the day they are acquired by it. It’s not really the contradiction you think it’s. Another 45% of people here are tech-savvy Reddit refuges who say Reddit things.
As to why would those company acquire a startup instead of having an agent generate it for them. Why has big tech ever acquired tech startups when they could have always funded it in house? It’s not always a technical answer. Sometimes it’s internal Political fights, time to market, reduce competition, PR reasons or they just wanna hire the founder to lead a team for that internally and the only way he’ll agree is if there is an exit plan for his employees. I sat in “acquire or build” discussions before. The “how hard would it be to just do that?” Was just one of many inputs into the discussion. Ever wondered why big big companies acquire a smaller one, not invest in it, then shut it down few years later?
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#317Already at a $300 million valuation at seed. Who’s going to join this as a regular IC who gets a pittance in options? I can’t imagine the risk matches the modest potential upside.
They'll raise at double that or more before the end of the year. The dynamics of the VC market right now are staggering to watch, but the money velocity is real, and this has "ex-CEO of Github" plus "AI".
It's legit mania in VC world even as they're looking at each going "is this mania? Is it mania if you're asking if it's mania". The only rule right now is the music is playing so no-one wants to grab a chair. There's a sense this might come crashing down, but what's a player gonna do, sit on the side while paper markups are producing IRR that is practically unprecedented?
This kinda has to end badly at this point.
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#318Earlier quoted context omitted.
The most interesting thing about everyone trying to position themselves as AI experts is the futility of it: the technology explicitly promises tomorrows models will be better then todays, which means the skill investment is deflationary: the best time to learn anything is tomorrow when a better model will be better at doing the same work - because you don't need to be (conversely if you're not good at debugging and…
That’s true for “tips and tricks” knowledge like “which model is best today” or “tell the model you’ll get fired if the answer is wrong to increase accuracy” that pops up on Twitter/X. It’s fleeting, makes people feel like “experts”, and doesn’t age well. On the other hand, deeply understanding how models work and where they fall short, how to set up, organize, and maintain context, and which tools and workflows supp…
> what problem was it trying to solve, and how did it do it differently from alternatives?
Sounds to me like accidental complexity. The essential problem is to write good code for the computer to do it's task?
There's an issue if you're (general you) more focused on fixing the tool than on the primary problem, especially when you don't know if the tool is even suitable,
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#319Earlier quoted context omitted.
They raised 60 million. The investors think it’s worth 600M+
It's the valuation that is wild to me (I think the idea itself has merit). But these are the new economics. I can only say "that's wild" enough before it is in fact no longer wild.
These aren't new economics, it's just VC funds trying to boost their holdings by saying it's worth X because they said so. Frankly the FTC should make it illegal.
Re: Ex-GitHub CEO launches a new developer platform for AI agents
#320The thread is missing the forest for the trees. The interesting bet here isn't git checkpoints—it's that someone is finally building the observability layer for agent-generated code. Most agent frameworks (LangChain, Swarm, etc.) obsessed over orchestration. But the actual pain point isn't "how do I chain prompts"—it's "what did the agent do, why, and how do I audit/reproduce it?" The markdown-files-in-git crowd is r…
@dang with the launch of open claw I have seen so much more LLM slop comments. I know meta comments like mine aren't usually encouraged, but I think we need to do something about this as a community. Is there anything we can do? (either ban or at least requiring full disclosure for bot comments would be nice).
EDIT: I suspect the current "solution" is to just downvote (which I do!), but I think people who don't chat with LLMs daily might not recognize their telltale signs so I often see them highly upvoted.
Maybe that means people want LLM comments here, but it severely changes the tone and vibe of this site and I would like to at least have the community make that choice consciously rather than just slowly slide into the slop era.