Claude Code

The agent process is moving off your laptop. Local appliance, SaaS workspace, or your own VPS — three answers, no consensus.

Python was never designed for science. So how did a general-purpose scripting language end up carrying the entire AI industry?

Docker Compose, Nix, devcontainers, microVMs — how automated provisioning works, and where the boundary moves when an agent needs a workspace.

Those suggestion chips aren't the model talking — they're a second, cheaper inference call plus a rules-based classifier.

Git branches don't nest — so what are we really doing when AI agents stack pull requests?

Claude Code's cloud sessions spin up a fresh VM every time. Here's what that breaks, and the new term for what Daniel actually wants.

Omarchy treats AI agents as users of the OS itself — every setting a command, every config a text file. Here's how it works and where it breaks.

97% of public Ruby repos sat untouched for six months — yet Ruby beat Python in an AI coding benchmark. What's actually declining?

Most agent search runs add no new evidence — and 66-85% of the context window is just search snippets. Here's what actually stops the loop.

Agents are becoming major software users — and they prefer raw command-line tools to polished interfaces. What replaces UX when your user can't see?

Security boundary or Linux workspace? The word "sandbox" quietly split in two — and the split explains where agents actually run now.

A new class of model skips text generation entirely and returns calibrated probabilities in one forward pass. Here's what that changes.

DevTools quietly omits what privacy researchers need most. Here's how to actually tap browser traffic — and what shows up when you do.

A tiny 600M parameter model is quietly scanning your ChatGPT tool calls for PII. Here's how that class of guardian model actually works.

Small models plus strict JSON schemas should be a safe bet. A 15,000-generation study found the opposite.