Botmonster Tech

After more than a year of daily use, the Home Assistant Voice Preview Edition is ready for daily use, with caveats. It is the only $59 smart speaker on the market with zero cloud dependency, and for anyone who already runs Home Assistant it slots into existing automations with almost no friction. On the plus side you get fully local wake word detection, sub-second response on common commands, a capable far-field mic array, and a privacy story Alexa and Google cannot touch. The frustrations have been equally consistent: wake word accuracy drops in noisy rooms, the built-in speaker is too quiet for a kitchen, custom wake words require a training pipeline most users will not bother with, and anything beyond “turn the lights on” still needs either a local LLM or a cloud model piped through Assist.

Claude Code now ships four ways to run agents remotely: Dispatch, Remote Control, Scheduled Tasks, and /loop. Pick the wrong one and you either over-build a simple polling job or under-build something that needs real persistence. Each works at a different layer of the stack. Each has its own lifecycle, infrastructure needs, and rules for what survives a closed terminal or a sleeping laptop.

Dispatch: Send Tasks from Your Phone to Your Desktop

Dispatch launched on March 17, 2026 as a research preview inside Claude Cowork. Open the Claude mobile app, describe a task, and Dispatch routes it to your Claude Desktop instance on your dev machine. Claude Code runs the task locally with your file system, MCP servers, skills, connectors, and any other tools you’ve set up. The result comes back to your phone.

Google shut down Gemini CLI on June 18, 2026, pushing free, Pro, and Ultra users onto the closed-source, Go-based Antigravity CLI . You can keep the open-source Gemini CLI running with a paid API key, but its separate quota pool is gone. Enterprise and Code Assist Standard licenses still work unchanged.

What happened to Gemini CLI?

On June 18, 2026, Gemini CLI and the Gemini Code Assist IDE extensions stopped serving requests for free, Google AI Pro, and Ultra personal accounts. The Google Developers Blog announcement confirmed the cutoff and named the replacement: Antigravity CLI, run with the command agy.

Thirty days of COSMIC Desktop 1.0 on Pop!_OS 24.04 LTS, and I am keeping it. Switch if you are a keyboard-first developer who wants a real tiling-plus-floating hybrid, appreciates Rust-grade stability, and likes a UI that sits under 900 MB at idle. Wait a release or two if you depend on a big GNOME extension collection, niche input methods (CJK/IBus edge cases), or a heavy accessibility stack. The COSMIC Store’s catalog is still smaller than Flathub’s GNOME Circle or the KDE offerings, and only a handful of third-party cosmic-ext-* applets exist in 2026. Everyone else should at least boot the live ISO before deciding. COSMIC 1.0 is the first new Linux desktop in a decade that does not feel like a fork of something older.

For most typists, thick 1.5mm doubleshot PBT in Cherry or MT3 profile is the best all-around pick. It resists shine for years, produces a balanced clack-to-thock profile, and holds crisp legends through daily abuse. Competitive gamers who care about fast finger-to-finger transitions still prefer ABS sets like GMK for the slicker surface and lower friction, while RGB builders should choose polycarbonate sets for maximum backlight bleed. If you want the deepest thock on a gasket-mounted board and don’t mind a slippery texture, POM sets like Keyreative POM or TOFU POM sit at the premium end.

The SWE-bench Verified leaderboard in June 2026 is led by OpenAI’s GPT-5.5 at 88.7%, with Claude Opus 4.7 a step behind at 87.6% and GPT-5.3-Codex at 85.0%. Anthropic’s June flagships, Opus 4.8 and the new Fable 5, ship as the current top Claude models but have not landed on the public board yet. Pick a different benchmark and the order flips. On SWE-bench Pro, Claude Opus 4.7 leads at 64.3%. On Terminal-Bench 2.0 , Codex CLI paired with GPT-5.5 tops the chart at 82.0%, while the cheaper, faster Gemini 3.5 Flash hit 76.2% on the newer 2.1 set with output about 4x faster. LiveCodeBench favors Google. There is no single best AI coding model. There is only a best model for the kind of task you care about, and the agent scaffold around that model can shift scores by several points.