Yes, Home Assistant has a built-in conditional card that shows or hides any dashboard card based on real-time conditions - entity state, time of day, who is home, screen size, and more. Combined with template sensors and a few HACS custom cards, you can build dashboards where morning shows weather and coffee controls, evening shows media and lighting scenes, and an empty house shows security cameras and alarm controls. The cards appear and disappear without leaving blank gaps, and the whole thing runs through the standard Lovelace frontend with no custom code required.

OpenAI’s Whisper is one of the best open-source speech recognition models available. Out of the box, whisper-large-v3-turbo hits roughly 8% word error rate (WER) on general English benchmarks like LibriSpeech. But point it at radiology reports, esports commentary, legal depositions, or manufacturing SOPs and that number can spike to 30-50%. The model simply has not seen enough of those specialized terms during pre-training to transcribe them reliably.

You can fix this. Fine-tuning Whisper on a small dataset of domain-specific audio - as little as one to three hours - with LoRA adapters brings domain-term WER down by 30-60%. The entire training process fits on a single consumer GPU with 12-16 GB of VRAM, takes a couple of hours, and produces an adapter file under 100 MB. What follows is the full process from data preparation through deployment.

To connect two remote LANs over WireGuard , you configure a WireGuard peer on one gateway device at each site, set AllowedIPs to include the remote site’s subnet, enable IP forwarding on both gateways, and add routing so LAN clients send cross-site traffic through the tunnel. Once configured, every device on either LAN can reach devices on the other LAN transparently - no VPN client installation on individual machines. A single UDP port open on at least one side is all you need.

OpenAI Codex CLI is an open-source (Apache 2.0), Rust-built terminal coding agent that has accumulated over 72,000 GitHub stars since its release. It pairs GPT-5.4’s 272K default context window (configurable up to 1M tokens) with operating-system-level sandboxing via Apple Seatbelt on macOS and Landlock/seccomp on Linux. That last detail matters: Codex CLI is the only major AI coding agent that enforces security at the kernel level rather than through application-layer hooks. Combined with codex exec for CI pipelines, MCP client and server support, and a GitHub Action for automated PR review, it has become the most infrastructure-ready competitor to Claude Code in 2026.

The Instructor library (v1.7+) patches LLM client libraries to return validated Pydantic models instead of raw text. It does this through JSON schema enforcement in the system prompt, automatic retries on validation failure, and native structured output modes where the provider supports them. It works with OpenAI, Anthropic, Ollama , and any OpenAI-compatible API. You define your output as a Python class and get back typed, validated data - no regex parsing, no json.loads() wrapped in try/except, no manual type coercion.

The three best ergonomic split keyboards for programmers in 2026 are the MoErgo Glove80 ($399, best overall comfort with contoured key wells and aggressive tenting), the ZSA Voyager ($365, best portable option with a low-profile design and magnetic tenting legs), and the Kinesis Advantage360 Pro ($499, best for deep key well enthusiasts with wireless ZMK firmware). All three offer full Linux compatibility, open-source firmware customization, and columnar stagger layouts that reduce finger strain during long coding sessions.

The ThinkPad X1 Carbon Gen 13 is the better daily-driver for developers who prioritize battery life, keyboard quality, and a polished out-of-the-box Linux experience. The Framework Laptop 16 wins if you value user-replaceable components, GPU modularity, and the ability to upgrade RAM and storage years down the line. Both run Linux excellently in 2026, but they serve different philosophies: the ThinkPad is a refined appliance, and the Framework is a repairable platform.

You can use HDMI-CEC commands through Home Assistant ’s HDMI-CEC integration - or a CEC-capable device like a Raspberry Pi running cec-client - to control TV power, input switching, and volume from automations and dashboards. Instead of juggling three or four remotes, you wire up a “Movie Mode” automation that dims the lights, powers on the TV, switches to the correct HDMI input, and sets volume to a comfortable level. One tap. Done.