turblety
For me, the use case is in my Remote Terminal app I'm building [1].
I have an agents sidebar that shows every running agent on the machine with the state. So I end up creating a kanban like board for all the agents based on if it needs my attention, is done or still working.
1. I don't want to extend the the harnesses in any way, not even hooks/plugins/etc 2. I don't want to poll, ever. It must be system events, file system watches
So I have to basically watch each session file from every harness for changes and derive a state from that.
Most CLI's have a file per process with some stats like the pid, state, is idle or not, etc, which is really helpful.
Each agent has a small provider that knows how that specific harness works, and watches it for changes. e.g. ~/.claude/sessions/{pid}.json
Those registries are small and change much less than transcript formats do.
But yeah, I think this will always be a matter of keeping it up to date.
I would like to retain support for older harness versions as I go.
If you run Qwen 3.8 on your own hardware, every single day, it's the exact same model running in the exact same way.
Yes, it's nowhere near as "smart" as the cloud based models. But it's consistent.
So the workflows and "ways of working" you create will work mostly similar day to day.
With Claude/OpenAI you frequently find days where the models are useless, and days when they are out of this world.
So I guess the choice comes down to:
1. Randomly the smartest thing on the planet with unpredictable rate limits that is mostly amazing, but frequently messes with your workflows
2. A really good local coding model that is consistent every day with no rate limits
I'm not sure. My gut feeling is maybe the right answer is a mix of both.
Gambling on the biggest models, hoping they are working smart that day, when planning or doing very complex work. Then doing most of the tasks/daily work using local models??
I'm willing to pay double the cost of a MacBook Pro for anything that can run Linux, similar performance to M5, have a decent battery, good touchpad, be silent, have a good display, be light and portable.
It doesn't exist. MacBook's simply have the best hardware, but terrible software/philosophy of software.
So I'd say their moat is hardware in general. Performance, yes to an extent, but it's performance vs heat vs energy vs battery life and all their peripherals.
Run Gitea Actions on Apple Hardware
Another great option (not mine) is Orca [3] and it's a lot more mature. Really nice to use.
It's amazing and very simple to run/setup. It's been really stable for me for years now, and takes basically no maintenance.
Vivaldi go out to their customers (that's not you) and say "We have 1000 suckers who have downloaded and use our closed source, Chromium cloned, browser. We can serve your website as a bookmark to them, or add you to their search engine list if you give us $x."
Since you are not their "customer" (that's the people paying them to appear in your settings) what are you? You are the "product", you are what Vivaldi is selling.
I'm not sure if this [1] is still relevant, but it appears that Vivaldi makes money by promoting search engines and bookmarks to their users via their closed source, secret, Chromium fork.
If my usage of their Chromium clone is being used to sell search engines/website bookmarks, then I am indeed the product.
There does also seem to be a VPN option on their site that I'm assuming I can pay for, which seems it could be an actually buyable product rather than selling my usage of their browser.
It also allows remote control. I don't like AI harnesses (Claude / OpenAI) having remote control inside, it feels like it should be at the terminal level, not the cli.
It also allows commands at the terminal level. So if you use multiple ai cli's you don't only need to write the command once, then use cmd+l to inject into any cli.
I've put macros in too, that again can automate doing the same thing in a terminal.
Anyway I'm sure this will just end up another terminal in a sea of already existing ones.
Is this a thing? Are there companies out there that don't want to go faster?
When you have a consistent model, you can incorporate fixes/prompts into your workflow to make it behave better. But this, always having to guess if Anthropic has quantised the model today, wastes so much time and effort.
I’d personally have a 12 length password enforcement, a password strength meter and nothing else. Possibly less if you introduce 2fa.
People should be using a password manager, then they can set that to 100/200 characters. Even if all lower case, it will be unbreakable (assuming a modern/secure one way hashing algorithm, and the password manager is truly random.).
If they are not using a password manager and use something like `waterfall!X` (because you enforce a special character and capital letter) you haven't actually increased entropy by that much, compared to a longer password. Them making up a 100 character password will almost guarantee more entropy than a short password they make up like `waterfall!X`
Also, because it's the internet [1]:
1. https://techcrunch.com/2019/02/17/openai-text-generator-dang...
> Theme park simulation game made with GPT‑5.4 from a single lightly specified prompt
GPT literally built that game.
But I believe OpenAI does let you use their subscription in third parties, so not an issue anyway.