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
Modern applications are fragmented by default. A typical stack today might use: SQL for transactions MongoDB for flexible documents Redis for realtime state Pinecone or Weaviate for vectors Firebase for sync Separate tools for analytics, permissions, and operations That works — until the complexity starts to hurt. You end up with duplicated data, inconsistent permissions, fragile pipelines, multip
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
Most API documentation is written for humans. MCP tool descriptions are different. They are read by the model that decides what to call next. That means tool names, descriptions, schemas, and error messages are not just documentation garnish. They are part of the safety boundary. A risky MCP tool often looks like this: name: query input: free-form string description: “Run SQL against the database
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
Elasticsearch Cluster Health 101: Understanding, Monitoring, and Maintaining Your Cluster Author: Prithvi S, Staff Software Engineer at Cloudera and Open‑source Enthusiast You ship your Elasticsearch cluster to production. Traffic spikes. Suddenly your dashboard flashes YELLOW. What does that mean? Are you about to lose data? Can you keep the service running? This guide teaches you how to read y