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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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Vibe Coding Security Crisis: 2,000 Vulnerabilities Found in 5,600 AI-Built Apps

Vibe Coding Security Crisis: 2,000 Vulnerabilities Found in 5,600 AI-Built Apps

The numbers are in, and they are bad. Escape.tech scanned 5,600 publicly deployed vibe-coded applications and found over 2,000 vulnerabilities, more than 400 exposed secrets, and 175 instances of leaked personally identifiable information - including medical records and IBANs. A separate December 2025 audit by Tenzai found 69 vulnerabilities across just 15 test applications built with five popular AI coding tools. Meanwhile, Georgia Tech’s Vibe Security Radar tracked CVEs directly caused by AI-generated code climbing from 6 in January 2026 to 35+ by March. The incidents are no longer hypothetical. They are production outages, leaked databases, and wiped customer records.

 Ai-Coding, Security, Ai, Developer-Tools
How to Build a Real-Time Chat with WebSockets and Vanilla JavaScript

How to Build a Real-Time Chat with WebSockets and Vanilla JavaScript

A WebSocket-based real-time chat needs two pieces: a server that holds persistent connections and broadcasts messages between clients, and a browser client that opens a WebSocket connection, sends messages on form submit, and renders incoming messages in the DOM. Using Node.js with the ws library and vanilla JavaScript on the client - no React, no Socket.IO, no build step - the complete implementation is under 150 lines of code and handles dozens of simultaneous connections on commodity hardware. This tutorial walks through the entire build.

 Javascript, Nodejs, Developer-Tools
How to Build a Whole-Home Audio System with Snapcast and Home Assistant

How to Build a Whole-Home Audio System with Snapcast and Home Assistant

Yes, you can build a synchronized multi-room audio system that rivals Sonos for under $300 total - covering five rooms. Snapcast is an open-source server-client audio player that streams music to every room in your house with sub-millisecond synchronization, and Home Assistant turns the whole thing into a controllable smart home system with per-room volume, source switching, and automation. The total cost per room runs between $30 and $50 depending on your speaker choice, synchronization stays within 1ms across rooms (humans can’t detect delays under 5ms), and the entire system runs locally on your network with zero cloud dependency or monthly subscriptions.

 Home-Assistant, Raspberry-Pi, Linux, Automation
Local AI Image Upscaling: Real-ESRGAN vs. Topaz vs. SUPIR

Local AI Image Upscaling: Real-ESRGAN vs. Topaz vs. SUPIR

For local AI image upscaling in 2026, Real-ESRGAN is the best free option with strong speed and solid quality for general upscaling. Topaz Photo AI delivers the highest overall quality with intelligent noise reduction and face recovery, but costs $199/year. SUPIR (Scaling Up to Excellence) produces the most detailed and photorealistic results on heavily degraded images, but demands 12+ GB VRAM and runs 10-50x slower than the alternatives. The right choice depends entirely on your workload: Real-ESRGAN for batch processing and automation pipelines, Topaz for professional photography workflows, and SUPIR for maximum quality on individual hero images where time is not a factor.

 Ai, Image-Generation, Gpu, Local-Ai
The State of Consumer SBCs in 2026: Trends, Trials, and the RISC-V Frontier

The State of Consumer SBCs in 2026: Trends, Trials, and the RISC-V Frontier

The consumer SBC market in 2026 is not dead - it is just no longer what it was sold as. Raspberry Pi, Orange Pi, Rock Pi, and the rest of the single-board computer crowd now ship 70-80% of their units to industrial customers: factory automation, digital signage, point-of-sale terminals, and medical devices. The $35 computer that was supposed to put a hackable Linux machine in every teenager’s bedroom is now more likely to be bolted inside a vending machine in a shopping mall.

 Hardware, Raspberry-Pi, Embedded, Iot, Edge-Ai
Upgrade Your 3D Printer with Klipper: A Complete Setup Guide

Upgrade Your 3D Printer with Klipper: A Complete Setup Guide

Klipper is a 3D printer firmware that offloads motion planning calculations from the printer’s microcontroller to a Raspberry Pi or similar single-board computer. The result is faster print speeds (300-500mm/s on a tuned Voron), pressure advance for cleaner corners, input shaping to kill ringing artifacts, and real-time configuration changes with no re-flashing. As of 2026, Klipper paired with a Mainsail or Fluidd web UI running on a Raspberry Pi 5 or Orange Pi 5 Plus is the default stack for anyone serious about 3D printing.

 Raspberry-Pi, Hardware, Embedded, Linux
Gemma 4 Architecture Explained: Per-Layer Embeddings, Shared KV Cache, and Dual RoPE

Gemma 4 Architecture Explained: Per-Layer Embeddings, Shared KV Cache, and Dual RoPE

Gemma 4 , released on April 2, 2026, ships four model variants under the Apache 2.0 license. The 31B dense model ranks third on the Arena AI text leaderboard with a score of 1452. The 26B MoE model scores 1441 while activating only 3.8B of its 26B total parameters per forward pass. These numbers raise the obvious question: what architectural decisions make this possible? Three specific design choices - Per-Layer Embeddings (PLE), Shared KV Cache, and Dual RoPE - break from the standard transformer recipe in ways that have real consequences for inference cost, memory footprint, and fine-tuning strategy. The rest of this post covers those mechanisms, the Mixture-of-Experts layer, and the multimodal encoders.

 Ai, Llm, Gpu, Fine-Tuning
How to Build a Portable Solar-Powered Raspberry Pi Server

How to Build a Portable Solar-Powered Raspberry Pi Server

Yes, you can build a self-sufficient, portable Raspberry Pi server powered entirely by the sun - no mains power, no generator, no ongoing fuel cost. With a 30W solar panel, a 12.8V LiFePO4 battery, a charge controller, and a handful of systemd scripts, you can run a weather station, a mesh network node, or a local web server indefinitely from a fence post, a rooftop, or a field station. This guide walks through the math, the parts, and the software that make it work reliably rather than just technically possible.

 Raspberry-Pi, Hardware, Iot, Linux
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