With a fresh SSD, upgraded GPU, and Ubuntu installed, I’m setting a new foundation for all future development—centered around Docker.
After years of battling messy environments and system bloat, I’m switching to a container-based workflow. Docker will be my core tool for organizing, building, and scaling projects across AI, 3D, and infrastructure tasks.
Clean Environments for Bots: Each bot gets its own isolated setup, avoiding package conflicts and letting me recreate the same working environment every time.
Reproducible Builds: No more "it worked before" headaches. Docker ensures every version and setting is preserved, making it easier to collaborate, share, and restart.
Modular Project Structure: I’m giving each major project—like my 3D gallery or local assistant—its own container, with clean boundaries and defined lifecycles.
GPU Access for AI Projects: With the NVIDIA Container Toolkit, I can give containers secure access to GPU acceleration for models, rendering, or inference.
Quick Reset & Scalability: I can stop, update, and redeploy containers at will—opening up possibilities for running multiple isolated services on the same machine.
/Projects directory on SSD for all dev workThis is the beginning of a clean and powerful development system. Every project gets its own container, clean dependencies, and space to thrive. For the first time, I have the hardware—and now the strategy—to bring everything to life.