Tag: ai

The Python libraries actually worth your time in 2026: data tools, ML frameworks, and CLI kit, plus which ones earn a permanent spot in your home lab.

Speculative decoding, Gemma 4 MTP, and DeepSeek DSpark all make LLMs 2-6x faster losslessly. How each works, and which to use for local vs. serving.

Karakeep (formerly Hoarder) is a self-hosted Pocket alternative with AI auto-tagging, full-text search, and Docker Compose deploy in under 10 minutes.

Comparing context-mode, code-review-graph, token-savior, and claude-context, MCP tools that stop AI coding agents from reading your whole codebase blind.

RTK, snip, and lean-ctx filter your AI coding agent's output before it burns context tokens. I run RTK daily, here's the one I'd actually switch to.

Hailo-8 vs Google Coral: which edge AI accelerator actually wins for Frigate NVR, Whisper transcription, and local home lab inference workloads in 2026?

I pointed a parallel swarm of AI agents at 840 technical posts to fact-check and refresh them, the architecture, the token bill, and the guardrails.

Claude Code puts an agentic AI assistant in your terminal for real homelab work, compose files, bash, Ansible, systemd. The honest take on cost and data.

Self-host Gemma 4 or Qwen3-Coder via Ollama or llama.cpp in Docker, then let Claude delegate the grunt work to it. Free tokens, zero code leakage.

Stop burning expensive AI tokens on boring grunt work. The overseer/workhorse pattern routes mechanical tasks to a cheap model and saves more than you'd think.

Wire a self-hosted SearXNG instance into Claude Code via a Bash wrapper for private, scriptable web search, and when to use it vs the built-in tool.

Dify is an open-source LLM-app builder you can self-host. Visual workflow editor, RAG, agents, tool use, without writing 500 lines of LangChain glue.