Jev is so hot right now. With good reason honestly if it all works out. The idea behind them is that instead of a model focused on chat it is focused on giving short responses from a finite dataset. One of the obvious places we can use this in our day to day work is… Read More »
I wanted a local coding assistant that could read enough of a repository to make a change, use its tools, and get the code right. Speed came after that. The results gave me plenty of reasons to keep that order. In my earlier LM Studio experiment, I got a local model to create a file,… Read More »
In September 2026 I got an email saying Codex could use Ollama. A few months earlier I had already managed to run a local model inside Cursor, OpenCode, and Crush, then wrote up the arrangement in Running Local LLMs Inside Cursor, OpenCode, and Crush. I had a working LM Studio server on my network. I… Read More »
This may seem self-evident, but I wanted to put it through a small experiment: saying what I need the first time should cut down on wasted AI work. I wanted to find something practical I could contribute to greener AI usage. Prompting seemed like a useful place to start because it’s something I can change… Read More »
The first time you stare at a backlog of a few hundred small repeated violations, all of them roughly the same shape, the natural thought is that this should be automated. Some validation rule trips on a missing attribute, or the same handful of conventions are wrong in dozens of templates, and the work is… Read More »
Bone Keeper (2026) feels like a low-budget creature feature with a newer image pipeline running through it, and that pipeline feels like part of the creative decision-making, not a layer of effects sitting on top. The film’s own credits list Howard J. Ford as writer, producer, cinematographer, editor, and director, and after watching the movie… Read More »
How the Template Emerged The origin is boring in the best way. I was writing skills, markdown files with YAML frontmatter that tell an AI coding agent what to do. Each skill needed to work in Claude, Cursor, Windsurf, OpenCode, and Codex. Each of those tools has a different frontmatter format, different file layout expectations,… Read More »
Pasting a hard bug into one AI prompt feels productive until it isn’t. Single-model inference hits a ceiling fast; if the model misses the root cause on the first pass, it will cheerfully validate its own wrong answer forever. One way out is to act as human middleware between multiple, architecturally different LLMs: generate parallel… Read More »
I wanted the best of both worlds: local models for privacy and cost, plus the scaffolding that makes modern tools actually pleasant to use. The plan was straightforward: LM Studio running the model, LiteLLM as the OpenAI‑compatible face, and three clients in the mix: Cursor, Opencode, and Crush. No spend, no drama, just enough configuration… Read More »
My great-great grandfather was a typesetter. This was at the time an in demand and well paid career but one doomed to made obsolete. Typesetters were replaced by new technologies over time. There was phototypesetting, laser imagesetting and digital typesetting. At each point the output became cheaper, faster, more reliable and more complex. Each iteration changed everything about how the end result was made. Less people working on a specific task but able to do more work at the same time. Page designers creating massive and intricate layouts and whose job qualifications have little overlap with the original typesetters still perform similar tasks.