X-Ray Vision: Logging in Python
When you implement Python logging in a systematic way, it’s like having X-ray vision into your application. You’ll see exactly what’s going on and gain the power to spot issues before they become showstoppers. Let’s dive in.
The Goldilocks Pull Request
A Pull Request should be focused. It should do one thing well: fix a bug, add a feature, or refactor a specific part of the code. This helps reviewers follow what changed and why, help CI tools test your changes, and help your future self understand the changes. Your PR should appeal to Goldilocks: not too large, and not too small.
Python Linter Showdown
Python Linter Showdown! It’s time for a spirited comparison of four popular Python linters: black, flake8, pylint, and ruff. Each tool promises to tidy up your code, catch pesky bugs, and keep your scripts neat. Our contestants today will face off on three files containing some not-so-great Python. Get ready to witness our code-based house of horror!
Clean Commits from the Start with pre-commit
Have you ever run git commit, only to realize later that you forgot to fix a small error? If so, you know that tiny missteps can quickly add up to big hassles for your entire team. That is why a simple tool called pre-commit can be so helpful. It automatically runs checks, linters, and other automated routines right before you commit your code.
DevOps Implementation Guide: From Zero to Hero (2025)
DevOps can be a game-changer for software development and IT operations. But what if your team has never done DevOps before? Transitioning to a DevOps culture can feel overwhelming. Fortunately, you don’t need to flip the switch overnight. Let’s walk you through the step-by-step process of introducing DevOps to a team that has never practiced it before.
No One Should Be Deploying Code at 2 AM
Deploying code at 2 AM is a cry for help. It signals a process problem, not a people problem. If your team is routinely making production changes in the dead of night to minimize impact on users, then you’re not reducing risk; you’re just shifting it onto tired, overworked developers who are more likely to make mistakes.