He says you can turn a web app into an iOS app for less than $10, which is the kind of distribution hack founders actually care about. The other posts are Replit promos — 50% off for running parallel agents faster, plus EU deployment — but the main signal is still: ship once, reach mobile cheaply.

The new Codex is another step toward agents that can code, use tools, and run long tasks in the background for knowledge workers. He says the Box plugin makes that especially powerful, since it lets enterprise content flow across apps to automate things like reports, data rooms, contracts, onboarding, and invoices.

He says he uses different models for different jobs: Opus 4.7 for planning, Composer 2 for building and iterating, and Codex/GPT-5.4 for the nasty bugs. That’s a pretty clear signal Cursor is turning model choice into workflow design, not just a chat box with autocomplete.

He also teased Baby Glass, a new prototyping environment with @flowstated that lets designers remix ideas in code using the same shared components behind Cursor 3’s interface.

They launched GPT-Rosalind, a frontier model tuned for biology, drug discovery, and translational medicine, with built-in knowledge of the databases and tools researchers actually use. They’re gating access for qualified customers because of bio-safety concerns, and also shipping a Life Sciences plugin for Codex to everyone.

They’re rolling out updates to Claude Code’s /usage flow after talking with users about helping them get more out of the tool. Anthropic is also adding a curated “What’s New” docs section and monthly “what we shipped” webinars, which feels like a push to make the product easier to follow as it moves fast.

She says the best use of time is deep talk, deep read, and deep play — especially the kind of random AI experiments that lead somewhere unexpected. Her bigger point: HTML is now the medium agents can actually work in, and she’s already turning frontend slides into video to prove it.

He says the practical move is to spin up a separate eval agent that does simple yes/no checks on another agent’s output, then keeps it working until everything passes. He’s already using that pattern for YouTube thumbnails and titles, which is a neat glimpse of how AI work is turning into agent-on-agent QA instead of one-shot prompting.

He says he and his team had to build proper end-to-end Gemini Live tests themselves, and that work is headed into GBrain Voice with an open-source release soon. The other updates are just maintenance: more /ship robustness and security fixes for GBrain.

He says the biggest divide in AI engineering right now is between the fast-and-loose “slop cannons” and the more disciplined builders. Putting those two camps on separate days at the @aiDotEngineer talks is, in his view, accidentally a pretty accurate map of where the field is headed.