Alacritty is still the best pick if you want raw speed and low overhead. Kitty wins if you want a full terminal workspace with graphics, splits, and automation hooks built in. In 2026 the speed gap is small. The real choice is less about “which is fastest” and more about which workflow you want to live in all day.

This guide tests both in real Linux work, not just feature lists. It also covers what most posts skip: Ghostty and WezTerm context, tmux and zellij tips for Alacritty, shell hooks in both, and access trade-offs that matter day to day.

A Progressive Web App requires just three things beyond your existing website: a Web App Manifest JSON file that defines the app’s name, icons, and display mode; a service worker that intercepts network requests for offline support and caching; and HTTPS hosting. Add these to any site with plain JavaScript - no React, Angular, or framework needed - and browsers will offer an install prompt, enable push notifications, and cache your app for offline use. The entire setup can be done in under an hour with three files.

You can automate your Gmail inbox on your own machine. The Gmail API feeds messages into a private Python script. A local LLM then handles summaries, sorting, and draft replies. You get the smart inbox features that tools like Google’s Gemini sidebar or Microsoft Copilot for Outlook offer. None of your email content ever leaves your computer.

This guide walks through the full build. You’ll set up the Gmail API with minimal OAuth scopes. You’ll fetch and parse raw email data, then mask any PII with Microsoft Presidio before the model sees it. You’ll build a daily summarizer that ranks mail by urgency. You’ll also build a smart draft writer that learns from your sent mail, and you’ll wire the whole pipeline up with cron. By the end, you’ll have a working local email agent that runs on any mid-range Linux or macOS box with Ollama installed.

Laptop overheating on Linux is rarely one bug. It’s a stack problem. Firmware, kernel power policy, the CPU governor, discrete GPU power, and plain dust in the heatsink all interact. The good news: Linux shows you every layer. Work through it in order and you can cut sustained temps by 8 to 20 C, quiet the fans, and stretch battery life without slowing the laptop down.

This guide reads as a full workflow, not a random list of tweaks. You’ll start with prereqs and a baseline, score how bad the issue is, then fix in order: software first, firmware and kernel next, hardware last.

Steam Deck OLED performance tuning is no longer just about pushing a few sliders and hoping for more FPS. In 2026, the stack is layered: Valve’s kernel, Proton version, game engine behavior, and power policy all interact. If you tune one layer in isolation, you often trade smoothness for instability, or frame rate for battery drain.

This guide focuses on a practical goal: improve frame-time consistency and battery life without turning your Deck into a fragile science project. You will get a safe workflow, specific kernel-level options, and game-profile examples you can actually reuse.

When building applications that require searching through hundreds of thousands of short strings-such as tags, usernames, or SKU codes-traditional heavyweights like Elasticsearch are often overkill. For a dataset of 200k tags (averaging 10 characters each), the priority shifts toward low latency, small memory footprint, and ease of deployment.

This guide categorizes the best modern tools into standalone servers and library-level implementations, helping you choose the right fit for your next project. These engines are also a natural fit for adding search capabilities to static site generators.