Howtos

The AWS Free plan is not working for me and Pay-as-you-go is hidden for new CloudFront Distributions on AWS Console .

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.

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.

Breadcrumb navigation combined with proper schema markup is one of the most effective yet underutilized SEO techniques that can significantly improve your website’s search visibility and user experience.

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.

Deploying a Hugo static site to AWS S3 using the AWS CLI provides a robust, scalable solution for hosting your website. This guide covers the complete deployment process, from initial setup to advanced automation and cache management strategies.

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.

Line ending inconsistencies between Windows and Linux systems cause formatting issues, Git warnings, and script failures. This comprehensive guide covers detection, conversion, and prevention strategies.

In the modern web, your digital identity can be tracked without cookies or explicit consent through sophisticated ditital fingerprinting techniques.

FLUX.1-dev is a powerful text-to-image model that produces stunning results, but its 24GB+ memory requirement makes it challenging to run on many systems. GGUF quantization of FLUX.1-dev offers a solution, reducing memory usage by approximately 50% while maintaining excellent image quality.

Hugo caching strategies are essential for maximizing the performance of your static site generator. While Hugo generates static files that are inherently fast, implementing proper caching at multiple layers can dramatically improve build times, reduce server load, and enhance user experience.