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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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How to Run Llama 4.0 on Consumer GPUs (2026)

How to Run Llama 4.0 on Consumer GPUs (2026)

You can run Llama 4.0 on consumer hardware by using 4-bit GGUF quantization and high-performance inference engines like llama.cpp or Ollama . This approach allows a mid-range RTX 50-series card - such as the RTX 5070 Ti with 16GB of VRAM - to maintain smooth, real-time token generation while keeping your data entirely local. The key insight is that quantization compresses model weights without catastrophic quality loss, and modern inference engines exploit your GPU’s full bandwidth to make that compressed model run fast. This guide walks you through everything: understanding the architecture changes in Llama 4.0, choosing the right hardware tier, picking your quantization format, installing the tools, and squeezing out maximum performance with practical optimizations.

 Llm, Llama, Local-Ai, Gpu, Ollama, Llama.cpp
Is a RISC-V Laptop Ready for Linux Daily Use in 2026?

Is a RISC-V Laptop Ready for Linux Daily Use in 2026?

RISC-V laptops are making rapid progress, but they are currently best suited for developers and enthusiasts rather than mainstream daily use in 2026. The hardware is capable of terminal work, web browsing, and compilation. The bottleneck is software: many applications that x86 and ARM users take for granted - Zoom, VS Code pre-built binaries, most commercial software - don’t have native RISC-V builds yet. Whether this matters depends entirely on what you need the laptop to do.

 Linux, Hardware, Embedded, Developer-Tools
Debian vs. Arch 2026: Choosing the Best Daily Driver

Debian vs. Arch 2026: Choosing the Best Daily Driver

Choosing between Debian and Arch in 2026 is less about which distro is universally better and more about which failure mode you can tolerate every week. Debian fails slowly and predictably. Arch fails quickly and transparently. Both can be excellent daily drivers, both can be miserable if you mismatch the system to your habits, and both now sit in a Linux ecosystem where Flatpak , containers, and user-level tool managers reduce the impact of distro packaging decisions.

 Linux, Developer-Tools, Optimization, Productivity
The Best Portable Monitors for a CLI Workflow (2026)

The Best Portable Monitors for a CLI Workflow (2026)

The best portable monitors for developers feature high-DPI 1440p resolutions and single-cable USB-C connectivity for power and video. In 2026, lightweight OLED models are preferred for their superior contrast and readability when working in a terminal-focused environment - though they come with burn-in caveats worth understanding before you buy.

What a CLI Developer Actually Needs from a Portable Monitor

Consumer portable monitor reviews optimize for the wrong things. Refresh rate comparisons, HDR brightness specs, and color gamut coverage are relevant for gaming and video editing. For eight hours of staring at a terminal prompt, the calculus is completely different.

 Hardware, Linux, Developer-Tools, Productivity
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