From a single crash to a public lint plugin: encoding RN/Expo tribal knowledge as oxlint rules
A production Android RN/Expo app crashed on launch with the canonical message:
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13 articles
Four probes, three falsifications, three fixes — accelerating PersonaLive
PersonaLive is a recent portrait-animation diffusion stack — reference UNet, denoising UNet with a temporal module, motion encoder, pose guider, VAE — that ships at ~10 FPS on an RTX 5090 with stock S
From Essay to Operating System: A Framework for Working With AI Without Losing What You Need to Know
A day after publishing Renting Competence, I sat back down with the same question and pushed on it harder. The essay had a thesis: if you let an LLM hold the model of your system, you keep shipping bu
Renting Competence: A Framework for Working With AI Without Losing What You Need to Know
Here is a question I have been asking developers a lot lately:
Why the squint slider needed an ArcFace anchor — the v1c → v1k failure ladder
From FluxSpace edits to a working glasses slider — what five days taught us
Composing a smile without losing the face it belongs to
Looking for AU atoms in Flux's attention cache
FluxSpace, End to End: One Recipe, Two Axes, Six Demographics, and a Geometry That Travels
Date: 2026-04-21 Series: Follows Demographic-PC Extraction, End to End. That post ended with a warning: our ridge-direction edits collapsed into solid colour or noise well before the published FluxSpa
Demographic-PC Extraction, End to End: Ridge vs Prompt-Pair, Two Kinds of Cliff
Date: 2026-04-20 Series: Follows Perception Before Training. That post framed a six-level perception curriculum gated on a Level-0 engineering task: build a demographic subspace in Flux conditioning s
Perception Before Training — A Curriculum Interlude Between Parts 2 and 3
Date: 2026-04-20 Series: Sits between Part 2: The Math of Pattern Preservation and whatever Part 3 turns out to be. Part 2 argued for a training pipeline that preserves patterns from text through face
Faces as a Data-Mining Puzzle — Part 2: The Math of Pattern Preservation
Date: 2026-04-16 Series: Part 2 of 2. Part 1 here covered positioning — why faces, why a game, why co-discovery. This post covers the math: how we know when a built pipeline actually preserves the pat
Faces as a Data-Mining Puzzle — Part 1: The Case for an Unlikely Interface
Date: 2026-04-16 Series: Part 1 of 2 — positioning. Part 2 covers the math of pattern preservation. Audience: technical readers who know embeddings, neural networks as black boxes, and basic ML, but n