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Hypothesis Property Testing: Find Edge Cases Automatically

Hypothesis Property Testing: Find Edge Cases Automatically

Property-based testing with Hypothesis lets you define what your code must do. One classic rule: “encode, then decode, and you get the same input back.” Hypothesis then makes up hundreds of random inputs and hunts for cases that break the rule. You don’t write test cases by hand. You sketch the shape of valid inputs. The tool finds the off-by-one bugs, the odd Unicode strings, and the edge cases hiding in your code.

Alembic Migrations: From Dev to Production Rolling Deploys

Alembic Migrations: From Dev to Production Rolling Deploys

Alembic is the standard migration tool for SQLAlchemy projects. You run alembic init, point it at your SQLAlchemy models, and use alembic revision --autogenerate to produce migration scripts. Alembic then applies those scripts in order with alembic upgrade head. You get repeatable, reviewable schema changes that work the same way everywhere your app runs. The latest stable release is Alembic 1.18.4. It supports SQLAlchemy 2.0 (now at 2.0.48) and its modern typed APIs.

Systemd Timers vs Cron: Resource Control and Journal Logging

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.

Gatus: 50 endpoints, 40MB RAM, free status page for self-hosters

Gatus: 50 endpoints, 40MB RAM, free status page for self-hosters

Gatus is a single-binary monitoring tool that probes your services and shows a public status page at a URL you control. You define every check in one YAML file. So your whole setup can live in Git next to the rest of your stack. There is no need for a database, no web UI to click through, and no per-monitor pricing. If you self-host a blog, a Gitea instance , a Home Assistant server, or a mail relay, Gatus gives you a simple way to know when something breaks.

Version Control HA Config with GitHub, Not Snapshots

Version Control HA Config with GitHub, Not Snapshots

You can secure your Home Assistant config by pushing your YAML files to a private GitHub repo on a daily schedule. This gives your smart home version control. You can see what changed between the last working state and the broken one, roll back a single file in seconds, and rebuild a fresh HA install from a repo clone. It is faster and far more useful than the built-in snapshot backup for config-level problems.

Designing a Professional Home Assistant Dashboard with CSS

Designing a Professional Home Assistant Dashboard with CSS

A professional Home Assistant dashboard uses custom CSS Grid layouts and HACS cards like button-card to build responsive, mobile-first interfaces. Moving past the default grid lets you design a “control center” that looks like a native high-end app, not a scrolling list of toggles. This guide walks through every layer of that change. It covers why the default UI falls short, the CSS Grid basics you need, how to build a clean theme, how to structure room-based navigation, and how to make it all work well on the HA Companion App.

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

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5 Open Source Repos That Make Claude Code Unstoppable

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Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

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Alibaba's sparse Mixture-of-Experts: 35B total parameters, 3B active per token. Q4 quantization runs on MacBook Pro M5, matches Claude Sonnet performance.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

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