Coding

Choosing the right browser automation stack and webscraping in Go affects speed, maintenance, and where your code runs.

Choosing the right browser automation stack in Python affects speed, stability, and maintenance. This overview compares Playwright vs Selenium vs Puppeteer vs LambdaTest vs ZenRows vs Gauge - with a focus on Python, while noting where Node.js or other languages fit in.

Two strong options for building terminal user interfaces today are BubbleTea (Go) and Ratatui (Rust). One gives you an opinionated, Elm-style framework; the other a flexible, immediate-mode library.

The Python ecosystem this month is dominated by Claude Skills and AI agent tooling. This overview analyzes the top trending Python repositories on GitHub.

The Rust ecosystem is exploding with innovative projects, particularly in AI coding tools and terminal applications. This overview analyzes the top trending Rust repositories on GitHub this month.

The Go ecosystem continues to thrive with innovative projects spanning AI tooling, self-hosted applications, and developer infrastructure. This overview analyzes the top trending Go repositories on GitHub this month.

This comprehensive guide provides background and a detailed comparison of Anaconda, Miniconda, and Mamba - three powerful tools that have become essential for Python developers and data scientists working with complex dependencies and scientific computing environments.

One of the most essential tools for Linux users is the terminal emulator.

Playwright is a powerful, modern browser automation framework that revolutionizes web scraping and end-to-end testing.

Cognee is a Python framework for building knowledge graphs from documents using LLMs. But does it work with self-hosted models?

When working with Large Language Models in production, getting structured, type-safe outputs is critical. Two popular frameworks - BAML and Instructor - take different approaches to solving this problem.

Managing Go projects effectively requires understanding how workspaces organize code, dependencies, and build environments.

Structuring a Go project effectively is fundamental to long-term maintainability, team collaboration, and scalability. Unlike frameworks that enforce rigid directory layouts, Go embraces flexibility—but with that freedom comes the responsibility to choose patterns that serve your project’s specific needs.

Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Python applications.

Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.

Table-driven tests are the idiomatic Go approach for testing multiple scenarios efficiently. When combined with parallel execution using t.Parallel(), you can dramatically reduce test suite runtime, especially for I/O-bound operations.