Learning Log
Learning Log — September 25, 2026
A dense day of local-agent experiments, Ravel, deployment debugging, technical writing research, open-source workflow, and project positioning.
open field note →pinned to the desk
Current rabbit hole
latest entries
Fresh from the workbench
AI Skills, Tools, Agents & Workflows
A practical mental model for separating model intelligence, workflow instructions, external tools, specialized agents, and local execution.
Linux App Portability: Dependencies, Desktop Environments & Runtime Reality
Lessons from making Mochi install and run outside my own Fedora/GNOME setup.
Technical Documentation: Verify the Product, Not the Old Tutorial
How a hands-on Sinch RCS walkthrough changed the way I think about researching and writing product documentation.
Deployment Debugging: Code, Routes, Platforms & Domains
What a Forem-powered README card taught me about debugging serverless deployments one layer at a time.
Determinism, Reproducibility & Calibration
How deterministic components make experiments and debugging more trustworthy even when AI model behavior is nondeterministic.
longer thoughts
Writing
- Sep 14, 2026Designing a Desktop Pet Native to Linux ↗
What building Mochi is teaching me about care systems, ambient interaction, progression, and designing a desktop companion that feels at home on Linux.
- Sep 11, 2026Getting Back Into Tech in 2026
A casual look at what it's like to re-enter the tech field in the age of AI.
- Sep 11, 2026Test Post
Testing my first post on my blog
the messy map
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AI AgentsLearning LogLinuxTechnical WritingWeb DevelopmentSoftware EngineeringAI Evaluation3D & Three.jsLinux & FedoraPythonDesktop LinuxProject ManagementTesting & PackagingPixel Art & AnimationGit & GitHubStudy Notes
No curriculum. Just connections forming as I go.