Writing

Notes from the build.

First-person, plain-technical writing about the things I actually ship.

Engineering·Oct 11, 2026

Before you code, build the harness

A CLAUDE.md is context, not enforcement. claude-code-harness adds the parts that can fail: a check runner that ties every pass to the exact source it ran on, and a Stop hook that sends failures back to Claude Code.

Drift Monitor

Engineering·Sep 17, 2026

The model changed and nothing failed

A pinned model can move under you without throwing a single error. modeldrift fingerprints what a model does today, commits that as a baseline, and fails CI when the behaviour moves.

Context Layer

Notes·Jul 16, 2026

The context layer: why smart models still fail at work

Notes on a talk by Prukalpa Sankar of Atlan. Performance is intelligence plus context, and the missing infrastructure for production AI agents is a context layer.

Founder OS

Open Source·Jul 15, 2026

Founder OS: a Claude Code skill set for startup owners

Eleven open-source skills that turn Claude Code into a founder operating system: investor updates, pricing, MVP scoping, outreach, hiring, launches. Free, MIT.

LLM Firewall

Engineering·Jul 12, 2026

I built a prompt-injection firewall for LLM apps

dynarq-shield sits in front of a model and decides what to allow, flag, or block. Here is how the detectors and the scoring work.

Five AI Repos

Notes·Jul 11, 2026

What shipping five small AI repos taught me

Depth over quantity. Five runnable, tested repos beat twenty empty ones, and here is what each one is actually proving.

Automated Digest

Automation·Jul 12, 2026

ai-radar: a digest that writes itself every morning

A scheduled GitHub Action that fetches the newest arXiv and Hugging Face releases, renders a dated digest, and commits the diff. Keyless, stdlib only.

Realtime Engine

Product·Jul 10, 2026

Inside Poplygo: making a room feel live

Anonymous Q&A and instant polls that everyone joins in seconds. The hard part was never the UI. It was making it feel instant.

LoRA Fine-Tuning

Engineering·Jul 9, 2026

Fine-tuning small models on a laptop with LoRA

You do not need a cluster to learn fine-tuning. A tiny model, prompt masking, and a CPU smoke test go a long way.