Currently I am not switch to it because I just have my own app talk to the herdr daemon via my apps builtin tailscale and it works great

There are too much features added now, perhaps some related to enterprise features because that must drive the revenue

Sometimes I am thiking perhaps they provide a light tailscale version but that seems not viable given the complexity now, headscale is great, but the OSS client still have plenty features, though they are gradually added feature based switch in the client source which I think is great, perhaps we can build a light version over it

This is also I do not think the tailscale-rs(which aim to rewrite tailscale with rust) will not be ready in a short time because too much (feature + cross platform) need to be tested

Cann't say something more, but it just made me a bit sad, and feel some nostalgia, and find how times flies over the years

Share the link below:

https://music.youtube.com/watch?v=sD115Li2Jl8&si=reD6a3Cjvt3...

This really blown my mind, and seem the 1/2 video is installed a app by click pdf link?

I guess and hope there will be update from apple quickly

But for ordinary user and mobile, and given the jitter of wireless network, seems it may cause unnecessary changes

But overall this is a neat project combine of technology I was fiddling and enjoy

Have been used some spare time to learn common lisp and write a manual project, still use web based AI as a quick search method.

But I managed to learn some common lisp and how to do cffi in common lisp and

- use gtk4 cffi binding to start a GUI app - write a ghostty cffi to encode/decode terminal escape sequences - write a libssh2 cffi to communicate with a ssh server

Hope I can build a minimal SSH Terminal using common lisp to keep on experiment and exploration

One thing I do not like is no native dark mode on chrome, but that's okay, I just do not use phone when I preparing to sleep

For the adblock/tracker issue, recently just added builtin DNS-based adblock (backed by several public block list) to my VPN app, it seems works well, given same engine and same network filtered by the same VPN, i guess they are same to me

I used agent over 1 year and basically always give codex full permission on each thread, do not get issue so far

Why we need this layer of complexity? Or its mainly for big company that need control ?

Hope this shift will make the project get sustainable and evolve fast

This coincidently the first picture in this article by cloudflare

I also think it seems cloudflare enter into a stage keep adding products and make the portal looks like a maze to get more advanced features configured

Do you still remember cloudflare mesh and use and stick to it?

I read the document and sometimes use LLM as a quick search engine because I am tired of every query on google that use AI to summarize

The project goes slowly but seems the basics I grasped over the years help a lot

So perhaps it still worth to learn by hand with trial and fail

I agreed with the author that one must learn deep above the abstraction and I truely think programming still a thing even the agentic coding is getting powerful

Sometimes I am wondering the low acquisition rate still pay off

I was thinking the herdr remote features is nice to have in my app, given this herdr multi machine support, perhaps I need to reconsider how I integrate it in the future

I am curious is what is the 80% request served by this setup, I was using it for OpenClaw which run serveral cron jobs that discover stuffs over the wide internet, check my support system's unanswered tickets, browser X and some social media for me to filter the valued ones(though I have to say even with GPT 5.6 sol, the quality is low for the timeline X sent to me)

Btw, Tailscale is quite cool and did a good job, I was using it to serve the local LLM and connct the openclaw on a Linux Machine to it.