You can build a fully local, sandboxed code interpreter agent. You pair Ollama (running a reasoning model such as Scout, the smallest Llama 4 variant , or DeepSeek R1) with a Docker container that runs the generated Python code. The agent sends a prompt to the local LLM, which writes Python. That code goes into a locked-down container with no network and strict limits. The output feeds back to the LLM so it can fix and retry. The whole loop runs on your machine with zero cloud calls.
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Systemd Timers vs Cron: Resource Control and Journal Logging
Systemd timers should replace cron for nearly every scheduled task on modern Linux. They log to the journal, manage dependencies, and add random delays to avoid resource stampedes. They also catch up on runs missed during a reboot. The one reason to keep cron is legacy support on minimal systems without systemd. If your distro shipped in the last decade, you have everything to switch.
This guide covers the real problems with cron. It explains how systemd timers work and migrates several cron jobs step by step. It also covers the sandboxing and resource controls that make timers a better fit for production.
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 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 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
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 .






