Discord rewrote their stack multiple times. Elixir for real-time messaging. Python for APIs. Go for microservices. MongoDB for storage. Electron for desktop. Standard startup choices. Ship fast, figure out the rest later. 5 million users. MongoDB couldn't keep up. Switched to Cassandra. 12 nodes. Worked fine. Until 2022, when those 12 nodes became 177. Maintenance got painful. Costs climbed. They
Updated May 2026: Now covers virtual desktop (Spaces) restoration and iCloud sync across multiple Macs, both shipped in ShiftPlus 1.3. TL;DR A complete macOS workspace includes apps, window layouts, browser profiles, virtual desktops, and terminal state. Native macOS saves almost none of it. Most third-party tools cover one slice: Stay and Spencer handle window layouts, Shift handles browser profi
In July 2025, a developer's Claude Code instance hit a recursion loop and burned through 1.67 billion tokens in 5 hours, generating an estimated $16,000 to $50,000 in API charges before anyone noticed. The agent did not crash. It did not throw an error. It just kept calling tools, getting confused, calling more tools, and silently accumulating cost. Old software crashes. LLM agents spend. This is
You're in another app and there's a timer counting down at the top of your phone. You lock the screen and the same timer is sitting there. You swipe down to the Notification Center and it's there too, still ticking. It looks like a notification, but a notification can't tick. That's a Live Activity. It looks like three different surfaces (Dynamic Island, lock-screen banner, Notification Center ent
Bun is being ported from Zig to Rust
I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. HiyokoLogcat supports Japanese and English. The AI diagnosis needed to respond in whichever language the user chose. The simplest solution: write the system prompt in the target language. Gemini follows it reliably. // Don't do this let prompt = format!("Analyze this log: {}\nRespond in Japanese.", context);