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Start My AI

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1 contribution to Start My AI
Why T3 Code and T3 Connect became essential to how I work
I started using T3 Code for a very practical reason: the computer in front of me isn’t always the best computer for the work I need to do. My everyday company computer is a Lenovo Legion with an Intel i9-14900HX, 32 GB of RAM, and an RTX 4070 Laptop GPU. It’s a capable machine, but it still has limits. When I’m running an application, compiling projects, reviewing UI, keeping several coding sessions open, and working on multiple things at once, the Legion can quickly become the bottleneck. At the same time, I have legitimate access to other computers that are often sitting idle. At the company, there’s an iMac with only 12 GB of RAM. It’s useful when I need macOS, but it isn’t the machine I would choose for heavier parallel workloads. We also have a dedicated Windows GPU workstation with 64 GB of RAM and a Radeon RX 7600 XT with 16 GB of VRAM. That machine has considerably more headroom for large builds, multiple simultaneous tasks, local models, and GPU-intensive work—especially at night, when nobody else is using it. At home, I also have my personal Linux machine. It has its own role: persistent services, Linux-native tooling, background processes, and projects that make more sense in a Linux environment. Before T3, these felt like separate computers. Every machine had its own files, terminals, dependencies, running processes, and unfinished work. Moving between them meant rebuilding context, copying things around, or trying to make one computer handle everything. T3 Code—and especially T3 Connect—changed that for me. Now I can sit at the Legion and connect to whichever environment makes the most sense for the task. The repository, terminal, dependencies, Git state, and running processes remain on the machine actually doing the work. I don’t need to move the entire project just because I moved to a different desk or opened a different laptop. This means I can review an application’s UI from the Legion while the application itself runs on the 64 GB GPU workstation. I can leave a build or a long-running task working there while I continue something else on my Linux machine. If I need macOS, I can move to the iMac environment without disrupting everything else.
1 like • 1d
This post is literally why Im here. Ive been building my own pocketshell, so I can control the 5+ machines all running herder with multiplexed projects and agents. Im trying to see them from a central location and keep them working. @Maria Martins. This is an awesome share. T3 seems way easier for connecting multiple machine. I will definitely be looking into this, since it seems easier to manage.
0 likes • 10h
@Maria Martins Whelp fork it is. Were you able to get atomic working with T3. I use it enough to consider adding the provider myself. The connection restriction is weird, as I cant find a paid option, that would increase it. Thanks for the info either way
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Taylor T
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