Live data from Hacker News

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

entire.io

251–260 of 625 posts

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

#251
post #190
post #126

Either the models are good and this sort of platform gets swept away, or they aren’t, and this sort of platform gets swept away.

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…

> the technology explicitly promises tomorrows models will be better then todays, which means the skill investment is deflationary

This is just wrong. A) It doesn’t promise improvement B) Even if it does improve, that doesn’t say anything about skill investment. Maybe its improvements amplify human skill just as they have so far.

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

#252
post #56
post #51

The founder has only forked repositories on GitHub that are sort of light web development related. His use of bombastic language in this announcement suggests that he has never personally worked on serious software. The deterioration of GitHub under his tenure is not confidence inspiring either, but that of course may have been dictated by Nadella. If you are very generous, this is just another GitHub competitor dres…

Founder here. I built commercial insurance software for Windows 95 in the 1990s, driver assistant systems at Mercedes and at Bosch in the early 2000s, dozens of iPhone apps as contractor, a startup called HockeyApp (acquired by Microsoft), and various smaller projects, mostly in Ruby on Rails. And of course, when I left Microsoft & GitHub, 10 years of green boxes were removed from my GitHub profile.

But ... what have you done lately?

(I jest ... kudos).

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

#253
This sounds like a company idea someone just came up with yesterday off the cuff, pitched it, and got money for because of their credentials so no one can really say no to investing in it, despite nothing new or different? What's the service or product and how is it different than every 3rd Show HN?

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

#254

> 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?

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

#255
post #241

Ignoring the VC economics and awful name, I won’t be as pessimistic as everyone. I see the vision. That said, nobody knows what the AI future looks like. Entire’s entire thesis is a solution for something we don’t even know we need. It’s a massive bet and uphill battle. Traditionally, dev tool success stories come from grassroots projects of developers solving their own problems and not massive VC funded efforts that…

And yet, this is precisely what seed bets are about. You have to try it in order to know whether there is a "there" there.

$1.5M seed bets, maybe. not $60M though

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

#257

> 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 built out the same thing in my own custom software forge. Every single part of the collaborative development process is memoized.

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

#258

disclosure: i run a startup that will most likely be competitive in the future. I welcome more innovation in the code forge space but if you’re looking for an oss alternative just for tracking agent sessions with your commits you should checkout agentblame https://github.com/mesa-dot-dev/agentblame

Oh I don't think I need this if all of my commits are AI!

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

#259
This feels interesting because the real problem with AI generated code isn't that it is of better or worse quality than code written by a human, it's that we humans need to audit both types of code. And this platform feels like it addresses this in a novel and traditional way. I like it.

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

#260
post #245
post #190

Earlier 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…

It does seem like things are moving very quickly even deeper than what you are saying. Less than a year ago langchain, model fine tuning and RAG were the cutting edge and the “thing to do”.

Now because of models improving, context sizes getting bigger, and commercial offerings improving I hardly hear about them.

Post reply on HN