After having run a Nextcloud server for several years on a Droplet (using docker-compose), I ultimately realised that I was only using the file syncing capability, and wasn’t moving much data even then.
And often I found with my clients I have to tell them like it's doing a good job at generating the actual design, but in actually expressing what the design is supposed to do, it cannot do that yet. You have to do that part yourself.
Because the model can do this at every given model generation, but there is often not a product that lets the model do this and lets it express this kind of ability to do this.
which is why when I see manifestos today I'm just like too soon. Not a bad idea. Would love to have one just too soon. It took 15 years for the technical change of object-oriented programming to come before we could say here are the consequences of it. Here's how in a simple way we can express how to effectively use this technology that we've been using day in and day out for 15 years. The genie comes along. People are like, "Well, what's the new manifesto? It's just not manifesto time yet.
I think the number one success criteria was docker so remember there was mos and msosphere and they had their own runtime corp had come out with nomad and they had their own runtime but the biggest runtime that had already got global consensus was docker
They tried to take the Docker API which worked really well for one node and expand it across multiple systems and it was not the right API to scale to another type of thing that we needed. And so they kept trying. They tried to add storage. They tried to add networking but the Docker API was never meant for that.
Maybe as AI writes more and more code of our code, it's less about like the details of how you express logic in a particular programming language and much more about those kinds of high-level trade-offs.
Being a great listener when people speak. Deep insights about understanding, connection, helping people express themselves, overcoming assumptions, the ethics of gossip, and more. Specific techniques for the support response, encouraging elaboration, and keeping it balanced. You can’t be ethical without being a good listener. When people say, “I can’t talk right now,” what they really mean is “…
Today, we are constraining the models, the models can't quite express themselves in terms of the UI to people. But if you think about it, we've kind of boxed them in that way, but given these models can code, they should be able to write the best interfaces to express their ideas over time.
It's just that Zig, C, C++, all those languages that were being tested, they're all LLVM backends, right? That's the one that actually turns the thing into the executable part. And if there's a variation in speed, it just means in one language you didn't quite express what you are supposed to correctly.
We ought to be especially careful in the cases where what we delegate to a device, app, agent, or system is an aspect of how we express care, cultivate skill, relate to one another, make moral judgments, or assume responsibility for our actions in the world
A better alternative to Docker. Used for running and isolating local development services. Makes it easier to set up consistent environments across various projects.
Partly because of another book that nearly made it onto my list: Domain-Specific Languages by Martin Fowler. It talks about the idea of writing a small language inside another language, to express ideas in a specific domain
For me, a good prototype expresses a single idea or tests a single hypothesis, so a prototype is actually a great container for a creative prompt, which typically takes the form of a single encapsulated concept or provocation.
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