Like OP, I use the VPS/SSH/Tailscale combo to run Claude Code from my phone, and I've never felt comfortable with the *Claw alternatives. This one finally made me take the leap. Simple, elegant, I'm having fun running it through Telegram.

Hey cool, glad you are enjoying! I am having fun with it also :)

I do believe I'm more productive, but my company is not charging much more for it. I'm working the same hours. Maybe that's the reason.

I just had a meeting yesterday when someone from the customer support team vibe-coded a solution in a few hours. The boss said, "Let's just give this as a gift; this product is not our focus and I want to show them how AI makes us work fast."

It's from the Orange Catholic Bible, I think.

"Thou shalt not make a machine in the likeness of a human mind."

I agree with your sentiment, and it touches on one of the reasons I left academia for IT. Scientific research is preoccupied with finding the truth, which is beautiful but very stressful. If you're a perfectionist, you're always questioning yourself: "Did I actually find something meaningful, or is it just noise? Did I gaslight myself into thinking I was just exploring the data when I was actually p-hacking the results?" This took a real toll on my mental health.

Although I love science, I'm much happier building programs. "Does the program do what the client expects with reasonable performance and safety? Yes? Ship it."

I don't understand this sentiment. It may hold true for other LLM use cases (image generation, creative writing, summarizing large texts), but when it comes to coding specifically, Google is *always* behind OpenAI and Anthropic, despite having virtually infinite processing power, money, and being the ones who started this race in the first place.

Until now, I've only ever used Gemini for coding tests. As long as I have access to GPT models or Sonnet/Opus, I never want to use Gemini. Hell, I even prefer Kimi 2.5 over it. I tried it again last week (Gemini Pro 3.0) and, right at the start of the conversation, it made the same mistake it's been making for years: it said "let me just run this command," and then did nothing.

My sentiment is actually the opposite of yours: how is Google *not* winning this race?

> despite having virtually infinite processing power, money

Just because they have the money doesn't mean that they spend it excessively. OpenAI and Anthropic are both offering coding plans that are possibly severely subsidized, as they are more concerned with growth at all cost, while Google is more concerned with profitability. Google has the bigger warchest and could just wait until the other two run out of money rather than forcing the growth on that product line in unprofitable means.

Maybe they are also running much closer to their compute limits then the other ones too and their TPUs are already saturated with API usage.

Agreed, also worth pointing out that Google still owns 14% of Anthropic + Anthropic is signing billion dollar scale deals with Google Cloud to train their models on their TPUs. So Claude success indirectly contributes to Google success. The AI race is not only about the frontier models.

> OpenAI and Anthropic are both offering coding plans that are possibly severely subsidized

So does Google, in fact I believe their antigravity limits for Opus and Sonnet for the $20 plan has higher limits than CC $20 plan, and there is no weekly cap or I couldn't get it even with heavy usage, and then you have a separate limit for Gemini cli and for other models from antigravity.

Is that so? I haven't personally used Antigravity, I just heard a lot of people complaining as recently as ~1 month ago that they hit the rate limits very quickly by e.g. it accidentally reading in too large files.

That's almost that famous quote by William Gibson: "The future is already here — it's just not very evenly distributed."

I predict that now that coding has become a commodity, smart young people drawn to technical problem-solving will start choosing other career paths over programming. I just don't know which ones, since AI seems to be commoditizing every form of engineering work.

When I was growing up (millennial) it seemed to me that the default for smart young people drawn to technical problem solving was something like aerospace, software or hardware was more or less a fun hobby, like it was for Steve Wozniak. Nobody cared whether or which of these were a commodity, which is what happens when you actually enjoy something.

These days I do see a lot of people choosing software for the money. Notably, many of them are bootcamp graduates and arguably made a pivot later in life, as opposed to other careers (such as medicine) which get chosen early. Nothing wrong with that (for many it has a good ROI), but I don’t think this changed anything about people with technical hobbies.

When you’re young, you tend not to choose the path the rest of your life will take based on income. What your parents want for you is a different matter…

The way benchmarks for Composer have been presented since v1 feels unusually cautious. To users, that reads as “the model isn’t very good”.

I used to lose myself in focused work for hours. That's changed. Now I'm constantly pulled away, and I've noticed the pattern: I send a prompt, wait for the reply, and drift into browsing. Without SelfControl blocking me, I can't seem to resist. I am certainly more productive with LLMs, but I also feel much more tired (and guilty) after a day of work.

This has been a common pattern for me before LLMs, when my work required constantly rebuilding models or doing small deployments where each task/try took more than ~20ish seconds and less than say 3 minutes. It's enough to pull you out of it but not enough to make a proper break or switch tasks.

I suffered from the problems you describe, grabbing a browser window or my phone which would usually take my attention much longer than the task and it left me burned out at the end of the day.

There are some helper tools, like blocking "interesting" pages (like HN, reddit) on the browser, putting the phone in the bag at the end of the room or using a pomodoro timer so sequence proper breaks. But at the end the only thing that really helped is getting into meditation: I try to use these little interruptions of flow as a opportunity to bore myself. Try to reframe boredom from being an annoyance that needs to be fought to a chance to relax your brain for a couple of seconds and refocus.

The want to grab the phone is hard at the start, but it gets better very soon when you manage to push through the discomfort in the first days.

Thank you for this comment. I meditated almost daily for years, but somewhere along the way life got hectic and the habit slipped. Time to revisit it.

EDIT: I wanted to add that I think it's a great time to get back to it because this mental fatigue has been leading me to migrate to more analog tools, like pen and paper for journaling and ditching my smartwatch for analog ones.

I've been using Coolify for deploying my webapps for about 3 years, it has a good web UI.