A few things I’ve built or am tinkering with - more will land here as they hold up.
lgtmaybe # #
A provider-agnostic PR reviewer. Six model backends behind one --provider
flag, and no static keys in your secrets for the cloud ones - Bedrock and Vertex auth keylessly over GitHub OIDC. Ships as a PyPI CLI and a GitHub Action over one core. Python, built ports-first with AI doing most of the typing. I wrote up how I built it, and the source is MattJColes/lgtmaybe.
The homelab # #
A few Raspberry Pis, a NAS, a Framework Desktop, a DGX Spark, and a stack of Dell OptiPlexes and other mini PCs. It all runs on Tailscale so I can get to it from anywhere, with a lot of containers going at any time to self-host things and run local AI.
Fine-tuning local vision LLMs # #
Fine-tuning open-source vision models like Qwen with Unsloth on my DGX Spark and Framework Desktop. Mostly for fun - I want to see how good a model I can run at home is at OCR and reading images, and I like experimenting with swarms of AI agents while I’m at it.
More soon # #
Whatever I’m building next: a Python tool wired up to an AI agent, an agent-orchestration experiment, or some homelab automation. I’ll write them up if I think they’re worth sharing.