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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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WLED LED Strips: Voice Control with Home Assistant for $30

WLED LED Strips: Voice Control with Home Assistant for $30

Flash WLED 0.15 onto an ESP32 over USB in under five minutes using the web installer at install.wled.me , wire up a WS2812B or SK6812 addressable LED strip with a properly sized 5V power supply, then add the device to Home Assistant via auto-discovery and configure voice control through the built-in Assist pipeline. You get hands-free color changes, effects, and brightness control with zero cloud dependency. Total cost is under $30 for a basic setup, and the whole thing takes about an hour.

Agentic RAG with LangGraph: 25% Better Accuracy, Fewer Calls

Agentic RAG with LangGraph: 25% Better Accuracy, Fewer Calls

Agentic RAG replaces the standard “retrieve-then-generate” pattern. The LLM gets tool-use powers to decide when to retrieve, which sources to query, how to rewrite queries, and whether the result is enough. Instead of fetching docs on every query, the model acts as an orchestrator. It runs targeted searches across vector stores, SQL databases, and web sources, then checks its own answers. This pattern lifts answer accuracy by 15-25% on multi-hop benchmarks and cuts wasted retrieval calls by about 35%.

Claude Code Is Built Entirely on MCP - What the Source Leak Revealed

Claude Code Is Built Entirely on MCP - What the Source Leak Revealed

Claude Code doesn’t use MCP as a plugin system. It is MCP. On March 31, 2026, Anthropic shipped a 59.8 MB source map by accident in npm package @anthropic-ai/claude-code v2.1.88. Developers got a rare look at how a real AI coding agent works. Every capability in Claude Code (file reads, bash, web fetches, Computer Use, IDE bridges) runs as a single permission-gated MCP tool call. There is no special internal API. Third-party MCP servers you connect get the same execution path, permission checks, and error handling as Anthropic’s own built-in tools.

Hall Effect Mechanical Keyboard Switches: Wooting vs. Geon Raw HE

Hall Effect Mechanical Keyboard Switches: Wooting vs. Geon Raw HE

If you’ve been following the mechanical keyboard scene over the past couple of years, you’ve probably noticed Hall Effect keyboards moving from niche curiosity to genuine mainstream contender. The technology that was once confined to expensive custom builds and obscure group buys is now showing up in mid-range boards from Keychron, Razer, and SteelSeries. And at the top of the pile, two keyboards have emerged as the flagships of the Hall Effect world: the Wooting 80HE and the Geon Raw HE .

NixOS for Non-Believers: A Practical Guide for Developers

NixOS for Non-Believers: A Practical Guide for Developers

You have sent the message “it works on my machine” at least once in your career. Maybe you have been on the receiving end of it. Either way, the problem is always the same. Two machines that should be identical are not, and no one can say why. One has Python 3.11, the other has 3.12. One has a system OpenSSL that some C extension links against, and the other does not. One engineer installed a package six months ago and forgot.

PiKVM KVM-over-IP: Raspberry Pi, $80-$385, Virtual Media, ATX

PiKVM KVM-over-IP: Raspberry Pi, $80-$385, Virtual Media, ATX

PiKVM turns a Raspberry Pi into a full KVM-over-IP device. It gives you IPMI-like remote access to any computer’s BIOS, boot loader, and OS through a web browser. You wire the Pi to the target machine’s HDMI output and USB port. Then you open the PiKVM web page from anywhere on your network. You get live video of the screen, keyboard and mouse control, virtual media mounting, and ATX power control. A DIY build runs under $100 in parts. Even the top PiKVM V4 Plus at about $385 costs far less than IPMI modules from HPE or Dell.

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