zactato

How does this compare to Google's in-house source control?

Most companies don't use mono-repos like this. While there are some really compelling advantages, the downsides tend to stack up as a company's codevbase grows.

It's mainly just startups and huge companies. For small companies git works fine for mono-repos and large companies can build their own complex code management pipelines for mono-repos.

I have been questioning whether agentic development changes the mono-repo vs multi-repo question.

I've been vibe coding a game on the side.

It really makes me appreciate how important good game design is. Claude is doing a fine job coding everything I describe, but it doesn't really understand fun, so I need to.

(It's not a great game)

I think one of the reasons for putting these in space is to move them beyond the borders of any national control.

How are they solving the heat dissipation issues?

I am confused by this. The UX of the CLI is almost identical to kubectl, but it doesn't seem to actually be built on K8s CRDs. There's a backend that runs on k8s, but doesn't seem natively integrated.

Because it's using `ax apple` instead of `kubectl apply` you can't use tools like argocd for managing resources.

It's built on agent substrate which is built on top of k8s CRDs, so I'm surprised.

Is the throughput of these objects too high for etcd?

Could you just start engineering "leaks" of new proofs so that Anthropic or OpenAI just start burning $10million in compute

How does this compare to parametric modeling tools like Fusion/Solidworks/ProE ? Is it more about the integration with game specific tools?

The only thing that is "better" in space is the efficiency of solar energy. Everything else is harder and more expensive

* Rockets costs more than trucks for moving things around * No water in space for cooling/heat transfer * Heat dissipation is difficult because vacuum is the best insulator * How do you repair one? * network bandwidth is probably lower

Its always CI. Whenever I've worked with good pen testers they always start with Jenkins, know that people stored creds and there and didn't treat as seriously as they treated production.

I am amazed at people's willingness to use Grok. The company is so transparently morally bankrupt. They're the only AI company that seems okay with CSAM (or at least don't do as much to stop it)

Why give them money?

It would be one thing if they were the only game in town but thats definitely not the case.

Ehhh in my experience compliance auditors are 10 behind the cutting edge. I still see auditors that don't understand Kubernetes and so ask the same questions they would about on prem machines. They don't know the questions to ask to get to the real meat of the risks. This leads them to allow things through that probably deserve more scrutiny. I bet the same thing will happen with LLM tools like this. They'll just ask if you use PRs and wave you on through.

yeah came here to say that. Leg lab was doing robotic locomotion in the 80s

Leg Lab evolved into Boston Dynamics, which have been (and maybe continue to be) the leader in real bipedal walking.

Pretty sure this was made by John Resig, the creator of jQuery.

I used to be friends with him back in the day and he described wanting to do something like this. He was/is a passionate dude.

Either you trust AI or you don't? If you don't trust it then you need to review what it's writing.

Docker seems like a pretty low complexity way to create an isolated environment to run automation.

I've always thought that there should be mutability of objects within the function that created them, but immutability once the object is returned.

Ultimately one of the major goals of immutability is isolation of side effects.