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Ex-GitHub CEO launches a new developer platform for AI agents

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Re: Ex-GitHub CEO launches a new developer platform for AI agents

#331

> 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.

I haven't read the article yet but this conversation reminds me of Docker. Lots of people "didn't get it." I told them at the time: if you don't get it you aren't ready for it yet so don't worry about it. When you do need it, you'll get it and then you'll use it and never look back. Look at where we are with containers now.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#332

The 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…

This sounds awfully like an LLM generated comment.

I suppose it was just a matter of time before this kind of slop started taking over HN.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#333
post #330

Earlier quoted context omitted.

@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…

Nothing about the parent comment suggests AI, except the em dash, but that's just a regular old punctuation that predates AI.

How much experience do you have interacting with LLM generated prose? The comment I replied to sets off so many red flags that I would be willing to stake a lot on it being completely LLM generated.

It's not just the em dashes - its the cadence, tone and structure of the whole comment.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#334

Earlier quoted context omitted.

@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…

It's the dead internet theory in action. Every time I see slop I comment on it. I've found people don't always like it when you comment on it.

Yes I usually just bite my tongue and downvote, but with the launch of open claw I think the amount of slop has increased dramatically and I think we need to deal with it sooner than later.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#335
post #330

Earlier quoted context omitted.

@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…

Nothing about the parent comment suggests AI, except the em dash, but that's just a regular old punctuation that predates AI.

I didn’t catch it until seeing these flag-raising comments… checking the other comments from the last 8 hours, it’s Claw for sure.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#336

We went from having new JavaScript frameworks every week to having new AI frameworks every week. I'm thinking I should build a HN clone that filters out all posts about AI topics...

Or, you could perform a public service by creating a HN clone only for bots and try to convince the bots trolling here to go there.

That actually (sorta) already exists: https://news.ysimulator.run/news

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#337

The 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…

This is interesting. I’m experimenting with something adjacent in an open source plugin, but focused less on orchestration and more on decision quality.

Instead of just wiring agents together, I require stake and structured review around outputs. The idea is simple: coordination without cost trends toward noise.

Curious how entire.io thinks about incentives and failure modes as systems scale.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#338

The 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…

I thought everyone was just using open telemetry traces for this? This is just a classic observability problem that isn’t unique with agents. More important yes, but not unique functionally.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#339

> 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.

ehhhh is it really that useful though? Sounds way more noisy than anything, and a great way to burn through tokens. It's like founding a startup to solve the problem of people squashing their commits. Also, it sounds like something Claude Code/Codex/etc could quickly add an extension for.

Re: Ex-GitHub CEO launches a new developer platform for AI agents

#340

The 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…

That is a sharp observation———it is the observability that matters! The question arises: Who observes the observers? Would you like me to create MetaEntire.ai———an agentic platform that observes Entire.io?

I think you need a few more em-dashes there to be safe
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