Yesterday's piece prescribed building a personal AI stack instead of waiting for the enterprise plan. The natural objection — "fine, but what does that actually look like" — deserves a concrete answer. So here is mine, opened up. This stack ships a five-surface content pipeline daily, on cron,

Every senior engineer who has shipped meaningful work in the last thirty years has carried a personal dev environment with them. Emacs configs, vim plugins, shell aliases, dotfiles repos, custom prompts, terminal multiplexer setups, a handful of scripts that exist only on their laptop and do exactly what the work

The current "Hermes Agent vs Claude Code" framing is the wrong comparison. The two tools live at different layers of the coding agent stack, and most of the YouTube hot takes treating them as alternatives are reading them as if they competed for the same job. They do

An article circulating this week argues that faculty AI buy-in in higher education is a human factors engineering problem. The framing is correct. The path the piece describes skips the only two steps that matter, and the reason it skips them is structural, not pedagogical. Start with the framework on

Anthropic added the /goal command to Claude Code in v2.1.139. You set a completion condition; the agent keeps working across turns; a second model reads the transcript and decides whether the condition was met. It is the built-in version of the keep-going loops people have been hand-rolling for

A DevOps engineer posted on r/devops this week with what reads like a familiar shadow-IT question dressed in 2026 clothes. Marketing, product, and sales people across his AI startup are shipping internal apps with Cursor and Claude Code. They deploy to Vercel, Cloudflare Pages, Netlify. The data is real.

Anthropic launched Claude for Small Business on May 13. Every read I've seen has focused on the product surface: 15 prebuilt agentic workflows, 7 named SaaS integrations, a trust posture built around in-the-loop approval and no-training-on-data defaults. The product is fine. The strategic signal is somewhere else. Read

Carl Frey's recent NYT piece argues that AI's real impact isn't job replacement — it's labor transfer from worker to consumer. We become our own travel agent, accountant, exterminator, doctor. The work doesn't disappear; it moves out of the labor statistics

In 2025, four companies — Microsoft, Alphabet, Amazon, Meta — spent over $300 billion on AI data centers. The combined 2026 number is forecast at $725 billion, a 77% jump in a single year. For comparison, the entire global SaaS market in 2025 is roughly $295–370 billion depending on whose definition