Ontologies are popular again, mostly because of artificial intelligence (AI) agents. A developer who knows Domain-Driven Design will find much of the idea familiar. This post covers what the two share, where they differ, and why the interesting work now is letting AI programs use your existing business model safely.
In 2026, Anthropic's artificial intelligence (AI) agents began to merge more than 30,000 code changes a day into one repository, and git could no longer keep up. So Anthropic built its own source control system, Scion. Here is the problem it solves, how it works, and what it means for teams that will keep using git.
Two Claude Code sessions in the same folder will sooner or later edit the same file and undo each other's work. A worktree fixes that by giving each session its own copy of the files on its own branch. Here is where Claude Code stores worktrees, how they work, what they share with your main folder, and the small routine that makes them worth using.
People often say that computer science "proves" a program cannot check itself. That is not quite what the theory says: a program can read its own code without any problem, but no program can decide, with certainty and for every possible program, what that program will do.
Claude Code gives every session a scratch folder under /private/tmp, and it is easy to think that this folder is where all of its leftovers live. It is the smallest part: more temporary files sit next to it, and the long-term record of every session stays in ~/.claude for a month by default.
One newsletter email carries several sender addresses, and each of them belongs to a domain. This post follows one email from your app to the reader's inbox and shows which Domain Name System (DNS) records prove that each of those domains is yours.
Every Mac comes with a firewall, and it is switched off. This post explains what that firewall does, why turning it on is a small but free win, when a second firewall for outgoing traffic is worth installing, and why on a work Mac the decision is not yours.
When many Claude agents work together, a single agent that is tricked by hidden instructions can pass those instructions on to all the others. This post explains what a sandbox protects in a group of agents, which kinds of isolation exist from a simple command filter to a separate virtual machine, how to configure them in Claude Code, and which setups work well in practice.
A laptop with 16–32 GB of memory can answer questions about your own notes, code and unfinished ideas, and none of your data leaves the computer. Choosing the model is the easy part. Two other things decide whether the answers are useful: how much memory the model has, and how well it finds the right pages of your files. Without them, it just guesses, and it sounds sure even when it is wrong.
Nearly every software company keeps its most valuable asset on a platform somebody else owns: GitHub, GitLab, Bitbucket, or one of a handful of smaller hosts. Your git history can leave any of them in an afternoon — almost nothing else you built there can, so who owns the platform matters more than its feature list.