Posts tagged ai.

An attacker can steal your API credentials while your application carries on working. Canaries can make some of that hidden activity visible.

AI sovereignty will not live in a flag-branded chatbot. It will live in data centres, power stations and contracts that let allied models run here.

A technical look at Ukraine’s drone stack, its battlefield engineering loop, and the evidence behind balloon-launched aircraft.

A parking camera joined two visits together, then handed Keith Miller the job of proving it wrong.

I wired a live C. elegans connectome into the control loop of a Claude coding agent, then watched what the worm did when the code broke.

How I build: small, narrow, niche, AI-native.

AI made software cheap to build but not cheap to scale. Evolutionary architecture with domain-aware AI agents is the missing piece.

I built OpenHealth because Claude's and ChatGPT's Apple Health connectors are US-only. Drop your export.zip, get seven markdown files any LLM can read — browser, CLI, or phone-to-desktop over WebRTC.

Wiring up an MCP server so Claude Code can spawn isolated VMs, the SSE-to-Streamable-HTTP migration that broke everything, streaming architecture, and what productionising this would actually look like.

Anthropic's Glasswing is for enterprises with six-figure security budgets. The rest of us need open-source security agents that learn our systems and act autonomously.

Anthropic has an internal platform for running Claude Code in full-permission isolation. I built my own version with Firecracker MicroVMs, Go, and a $400 Ryzen box.

We're still shipping hand-crafted frontends while AI can generate entire interfaces. What if the browser itself generated the UI from an API manifest and your preferences?

I pulled apart NanoClaw's 8,000-line codebase and found six architectural patterns that most SaaS teams should steal — credential proxies, container isolation as authorization, two-cursor message processing, and more.

The engineering career ladder was built for when code was expensive. Code is now cheap. What's valuable has fundamentally shifted.

AI coding agents burn too many tool calls just figuring out where things are. I built codemap to fix that — cheap model indexes, cheap model selects, big model codes.

Introducing c302 — a research project that uses the C. elegans roundworm's neural dynamics as a behavioural control layer for an LLM coding agent.