Explores the accessibility implications of the CSS content-visibility property, testing its impact on screen readers and the accessibility tree.
A technical comparison of Server-Side Rendering (SSR) and Static Site Generation (SSG) in Next.js, explaining their benefits and use cases.
Explains Java 16's Stream::mapMulti method as a faster alternative to flatMap, with code examples and performance considerations.
Explores the UX of skeleton screens for loading states, discussing their origins, benefits, and potential misuse in web development.
A guide to setting up and configuring the JIT compiler in PHP 8, including enabling opcache and understanding the complex configuration options.
A Python tutorial comparing methods to remove duplicates from a list, focusing on performance and code clarity.
A developer compares JavaScript's performance.now and Date.now for measuring raw computing speed, sharing test methods and findings.
Analyzes how medium-sized text fields impact PostgreSQL query performance through the TOAST storage mechanism.
Compares Python's type() and isinstance() functions, explaining their differences, performance, and when to use each.
Explains Python membership testing using 'in' operator vs. for loops, with benchmarks showing performance differences.
Explains the best way to check for True/False in Python, comparing performance and recommending the PEP8-compliant 'if variable:' idiom.
Explores Google Analytics proxying, a technique to bypass ad-blockers for more accurate tracking, and discusses its ethical implications.
A technical comparison of Python's list.sort() and sorted() functions, analyzing their performance with benchmarks and correcting common testing mistakes.
Compares Python for loops and list comprehensions, analyzing performance benchmarks and best use cases for filtering lists.
Explores new experimental performance features in Puma 5, including a 'sleep sort' latency reduction technique for Ruby web servers.
Learn how to use Numba's @jit decorator to achieve massive speedups in Python code with minimal changes, demonstrated with a benchmark example.
A Vue.js developer explains how to use memoization to solve a performance issue in a timeline component, reducing function calls from 700+ to a few.
A technical article comparing while and for loops in Python for finding numbers, with performance benchmarks and Python version considerations.
A series exploring techniques to write faster Python code, covering idiomatic patterns, performance tools, and benchmarking.
A critique arguing that web browsers have become bloated with unnecessary features and APIs, calling for a focus on performance and stability instead.
