Ha! Just yesterday I set up a git repo to sync my Obsidian vault with my Ubuntu VPS for LLM use. Part of me wishes this had come out one day sooner, though honestly, I've grown to like the git workflow. The deal-breaker is mobile: it just doesn't play nicely there, so I'll keep using native sync for that.
Tools like OpenClaw have two core capabilities: the ability to rewrite themselves, and the ability to independently figure out how to connect to different services and establish those connections.
Yesterday, I was responding to a client ticket about what I knew wasn't a bug. It was something the client had requested themselves. The product is complex, constantly evolving, and has spawned dozens of related Jira tickets over time. So I asked my agent to explore the git history, identify changes to that specific feature, and cross-reference them with comments across the related tickets. Within minutes, I had everything I needed to write a clear response. It even downloaded PDF and DOCX files the client had attached. All of this was possible because my agent is connected to GitHub and Jira, and can clone repos locally since it runs on a VPS.
A second example: I was in an online meeting, taking notes as we went. Afterward, I asked the agent to pull the meeting transcript from Fireflies and use it to enrich my notes in Obsidian. I could have also asked it to push my action items straight into Todoist.
It's changing super fast. I am using it on the desktop mostly and when I tried on my phone there were issues yes. But do try it out again in a few weeks.
(I am actually using zellij on the remote and using various CLIs more than I am using only opencode on the web. I was using wezterm mux until about a week ago but the current state of the terminal is not very good for this scenario. It seems like almost all the CLIs are choking because of nodejs ink library)
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.
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."
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.
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…
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