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Practical guides on Linux, AI, self-hosting, and developer tools

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

A head-to-head comparison of Gemma 4, Qwen 3.5, and Llama 4 across benchmarks, licensing, inference speed, multimodal capabilities, and hardware requirements. Covers the full model families from edge to datacenter scale.

How to Serve Multiple LLMs Behind a Single OpenAI-Compatible API

How to Serve Multiple LLMs Behind a Single OpenAI-Compatible API

Unify access to Ollama, vLLM, OpenAI, Anthropic, and Google models behind one endpoint using LiteLLM Proxy. Configure model routing, load balancing, fallback chains, rate limiting, and spend tracking from a single YAML file.

How to Set Up FLUX 2 Max Locally in 2026

How to Set Up FLUX 2 Max Locally in 2026

FLUX 2 Max brings high-fidelity image generation to local hardware in 2026. Covers hardware requirements, model setup, and optimization techniques for running inference on consumer GPUs without cloud dependencies.

Restore an Old MacBook Pro with Modern Linux (2026)

Restore an Old MacBook Pro with Modern Linux (2026)

A 2012–2015 MacBook Pro with an SSD upgrade and a lightweight Linux distribution becomes a capable, fast machine in 2026 - far more useful than selling it for parts or letting it collect dust. This guide covers hardware upgrades, distribution choice, driver configuration, and performance tuning.

5 Open Source Repos That Make Claude Code Unstoppable

5 Open Source Repos That Make Claude Code Unstoppable

Five GitHub repositories released in March 2026 push Claude Code into new territory. From autonomous ML experiments running overnight to multi-agent communication and full Google Workspace access, these open source tools solve real workflow gaps that Claude Code cannot handle alone.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs. Kitty: Best High-Performance Linux Terminal

A practical comparison of Alacritty and Kitty for high-performance Linux terminal workflows in 2026, including latency, startup time, memory use, and heavy-output responsiveness. The analysis covers design philosophy differences between minimalist and feature-rich terminal environments, plus Wayland behavior and real-world configuration trade-offs. It also situates Ghostty and WezTerm in the current landscape and explains when each terminal model fits best for daily development.

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What Are the Best Ergonomic Split Keyboards for Programmers (2026)?

What Are the Best Ergonomic Split Keyboards for Programmers (2026)?

The three best ergonomic split keyboards for programmers in 2026 are the MoErgo Glove80 ($399, best overall comfort with contoured key wells and aggressive tenting), the ZSA Voyager ($365, best portable option with a low-profile design and magnetic tenting legs), and the Kinesis Advantage360 Pro ($499, best for deep key well enthusiasts with wireless ZMK firmware). All three offer full Linux compatibility, open-source firmware customization, and columnar stagger layouts that reduce finger strain during long coding sessions.

 Hardware, Productivity, Linux, Developer-Tools
Framework 16 vs. ThinkPad X1 Carbon: Best Linux Dev Laptop in 2026

Framework 16 vs. ThinkPad X1 Carbon: Best Linux Dev Laptop in 2026

The ThinkPad X1 Carbon Gen 13 is the better daily-driver for developers who prioritize battery life, keyboard quality, and a polished out-of-the-box Linux experience. The Framework Laptop 16 wins if you value user-replaceable components, GPU modularity, and the ability to upgrade RAM and storage years down the line. Both run Linux excellently in 2026, but they serve different philosophies: the ThinkPad is a refined appliance, and the Framework is a repairable platform.

 Linux, Hardware, Developer-Tools, Laptops
How to Automate Your Home Theater with Home Assistant and HDMI-CEC

How to Automate Your Home Theater with Home Assistant and HDMI-CEC

You can use HDMI-CEC commands through Home Assistant ’s HDMI-CEC integration - or a CEC-capable device like a Raspberry Pi running cec-client - to control TV power, input switching, and volume from automations and dashboards. Instead of juggling three or four remotes, you wire up a “Movie Mode” automation that dims the lights, powers on the TV, switches to the correct HDMI input, and sets volume to a comfortable level. One tap. Done.

 Home-Assistant, Automation, Raspberry-Pi, Iot
How to Use Home Assistant Packages to Organize Complex YAML Configurations

How to Use Home Assistant Packages to Organize Complex YAML Configurations

Use Home Assistant ’s built-in packages system. Instead of maintaining a single configuration.yaml that grows into a 2,000-line monster, packages let you split everything into self-contained YAML files grouped by function - packages/lighting.yaml, packages/climate.yaml, packages/security.yaml, and so on. Each package file can hold any combination of automations, sensors, scripts, input helpers, and templates. Everything related to one feature lives in one file. When you need to modify your thermostat logic, you open packages/climate.yaml and nothing else.

 Home-Assistant, Yaml, Automation, Homelab
Rust Goes Stable in Linux Kernel 7.0: What It Means for Developers

Rust Goes Stable in Linux Kernel 7.0: What It Means for Developers

With Linux 7.0, Rust graduates from a cautious experiment to a permanent part of the kernel’s development model. Kernel builds now require only stable Rust releases, with a minimum of Rust 1.93 anchored to the Debian stable toolchain. Real Rust drivers - NVIDIA’s Nova GPU driver and Google’s Android ashmem subsystem among them - are already running on hundreds of millions of devices. There is no plan to rewrite the kernel in Rust. What changed is policy: new code can now be written in a language that eliminates entire categories of memory-safety bugs at compile time.

 Rust, Linux, Gpu, Developer-Tools
SQLite as Your Application Database: When and How to Use It

SQLite as Your Application Database: When and How to Use It

SQLite is the right default database for most applications. With WAL mode enabled, it supports unlimited concurrent readers alongside a single writer that can sustain thousands of transactions per second on modern NVMe storage, handles databases up to 281 TB, and requires zero configuration, zero separate processes, and zero network latency. Unless your application specifically needs horizontal write scaling, multi-node replication, or concurrent writes from multiple processes exceeding roughly 50,000 writes per second, you should start with SQLite and migrate to PostgreSQL only when you hit a concrete, measured limitation - not a theoretical one.

 Databases, Developer-Tools, Python, Optimization
CSS Anchor Positioning: How to Build Tooltips and Popovers Without JavaScript

CSS Anchor Positioning: How to Build Tooltips and Popovers Without JavaScript

CSS Anchor Positioning is a browser-native feature that lets you position any absolutely-placed element relative to another element in the document - no JavaScript required. Using the anchor() function, position-anchor property, and @position-try rules, you can build fully interactive tooltips, dropdown menus, and context menus in pure CSS and HTML. As of early 2026, it works in Chrome 125+, Firefox 132+, and Safari 18.2+, covering roughly 91% of browser traffic. Combined with the HTML popover attribute (Baseline 2024), you get show/hide toggling, keyboard dismissal, and top-layer stacking for free. The JavaScript tooltip library is effectively dead for most use cases.

 Css, Developer-Tools, Static-Sites
How to Implement Feature Flags from Scratch

How to Implement Feature Flags from Scratch

You can build a fully functional feature flag system using a JSON configuration file, environment variable overrides, and a single evaluation function in roughly 100 lines of Python. This gives you gradual rollouts, kill switches, and per-environment toggles without paying for LaunchDarkly , Unleash , or any other SaaS platform. The core pattern is straightforward: define each flag with a name, a boolean or percentage-based rule, and a list of target environments, then evaluate it at runtime through a thin SDK you own and control completely.

 Python, Developer-Tools, Automation
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