Python has had async for 10 years -- why isn’t it more popular?

A deep-dive into the challenges and misconceptions surrounding async programming in Python

Software Engineering for Data Scientists, Part 1: Pydantic Is All You Need for Poor Performance Spaghetti Code

Learn why using Pydantic beyond API boundaries leads to 6.5x slower performance and 2.5x more memory usage. This post reveals the serialization/deseri...

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High-performance database CLI engineered for Django developers — Advanced ORM analysis, performance optimization, SSH tunneling, and seamless multi-da...

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How to Have LLMs Write More Efficient Code using Optimal Data Structures

LLMs often generate O(n²) solutions when O(n) would suffice. Learn how to prompt for optimal data structures, avoid common performance pitfalls, and g...

How I Finally Got a DigitalOcean Spaces Bucket to Default Public (Spoiler: Ditch Per-Bucket Keys)

Still hitting 403 errors trying to make a DigitalOcean Spaces bucket public? Turn off Per-Bucket Access Keys, lean on simple ACLs, and skip the old su...

Claude Code: Automatic Linting, Error Analysis, & Custom Commands

How to leverage Claude Code's error analysis slash-commands and create your own linting commands to automate repetitive CLI tasks.

Claude Code Output Styles: Explanatory, Learning, and Custom Options

An implementation guide to Claude Code's /output-style, the built‑in Explanatory and Learning modes (with to-do prompts), and creating reusable custom...

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