Hello friends!
Welcome to another edition of Sloth Bytes. I hope you had a chill week.

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SpaceX just bought Cursor for $60 billion
Cursor had its first ever Compile conference this week then SpaceX showed up and bought the whole company for $60 billion in stock. Absolutely insane.
This was definitely a planned thing because of what they announced in their conference:
Cursor is training a 1.5-trillion-parameter model from scratch (no longer using Kimi. It's gotta be a new Grok coding model)
Origin, a new Git hosting platform built for AI agents releasing in the fall.
So it looks like Cursor has SpaceX money, compute, and Grok. I’m excited to see this, but also a bit nervous. Cursor’s pricing has been solid this whole time and I'd love for that to stay true, but when a $2 trillion rocket company buys it, something's gonna change. We’ll see what happens.
Vercel Ship 2026 just happened in London
Over 2,500 people showed up this week for Vercel Ship.
The whole thing was a pitch for what they're calling "agentic infrastructure."
Basically:
Where coding agents deploy your app (ask Claude Code or Codex where to deploy and you'll land here),
Where you build your own agents
Vercel itself runs on agents now too, using the production data it collects to investigate issues on its own and open PRs instead of just throwing alerts at you.
The actual new stuff:
Vercel Connect gives agents temporary scoped credentials instead of long-lived API keys sitting in your env vars.
eve is a new open source agent framework where your whole agent lives in one directory with markdown instructions and TypeScript tools. Basically the next.js for agents.
Vercel Services launches July 1, finally giving microservices first-class support. You can develop and deploy your frontend and backend together, and backend-only changes still build the app in a full preview environment.
Vercel Agent (private beta) monitors your production deployments, investigates anomalies on its own, and opens a PR with the fix instead of just paging you.
I think the most exciting ones for me are Vercel connect and eve. Making your own agent is annoying.
Meta is reportedly turning engineers into data labelers
Gergely Orosz's report in The Pragmatic Engineer says 30 to 50% of engineers on some Meta core teams have been forcefully reassigned into a new org called Agent Data Optimization (ADO), where their job is basically data labelling.
They rate AI generated code and write tests for it instead of making their products better. Yes. They're prioritizing data labeling over the products that millions of people actually use. I have no idea why.
Around 6,500 people are there now, which is more than work at OpenAI and Anthropic combined (y'know, the ones actually building the models).
One Meta engineer compared it to The Hunger Games.
Things got bad enough that someone interrupted a livestreamed all-hands to say they were tired of "being the company's bitch." Just an average day I guess.
They’ve also laid off a lot of their security team and privacy team which is causing big issues.
No idea what’s happening over there in Meta. Mr. Zucc says the people that work there have “above average” intelligence, but clearly he’s not listening to those people.

CS degrees aren't dead, the entry level pipeline is - a 12 year engineer breaks down what they would do if they were looking for an entry level job.
I could've rickrolled the entire FIFA World Cup - a simple security flow gave a researcher backend access to basically all admin features in the FIFA world cup. Live stream access, match management, teams, etc. He could’ve done ANYTHING.
How Dropbox uses MCP to close the design-to-code security gap - Dropbox built an agent that flags gaps between spec and shipped code via MCP. A real use case beyond autocomplete.
Running local models is good now - local models on a 4 year old M2 Mac now hit ~75% of frontier speed and accuracy. Worth reading if you’re using local LLMs.

Your best prompts are the ones you'd never bother typing.
The detailed ones. The ones with examples and edge cases. Wispr Flow lets you speak them instead — clean, structured, ready to paste into any AI tool. Free on Mac, Windows, and iPhone.
pyinfra - Write your server automation in actual Python instead of YAML, deploys 6x faster too.
MDN MCP server - hooks your AI coding agent straight into MDN's actual docs instead of whatever it half remembers about browser support from training data.
prop-for-that - lets your CSS see what JavaScript sees. Scroll position, slider value, mouse location, whatever. Bind it once and your stylesheet just reacts, no event listeners needed.
Sätteri - a Rust powered Markdown and MDX parser that Astro just adopted as an opt-in processor. Same plugin ecosystem you know, way less waiting around.

That’s all from me!
Have a great week, be safe, make good choices, and have fun coding.
If I made a mistake or you have any questions, feel free to comment below or reply to the email!
See you all next week.
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