Big O Notation: A Plain English Guide
Learn Big O notation without the math degree. Understand O(1), O(n), O(n²) and why it matters for your code with real examples.
1 article tagged with “performance”
Performance tuning turns slow software into fast software. Learn profiling techniques, caching strategies, lazy loading, and optimization patterns across the frontend and backend.
Users notice speed before features. A page that loads in under a second feels instant; the same page at three seconds feels broken. Performance work touches the entire stack, from database indexes to image compression to JavaScript bundle size. Improving speed often improves retention, conversion, and overall user satisfaction at the same time.
The articles here teach you where to look first, which tools reveal the biggest wins, and how to measure the impact of every optimization. You will learn profiling techniques, caching strategies, and lazy-loading patterns that apply to both front-end and back-end code. The goal is to make every millisecond count.
Start by measuring, not guessing. Use your browser's developer tools or a profiling library to find the slowest parts of your app. Our articles show you how to read flame charts, spot unnecessary re-renders, and identify slow database queries. Focus on the biggest bottleneck first — one optimization in the right place often matters more than ten small tweaks. Paste performance-critical code into ExplainThisCode to get analysis of time complexity and suggestions for improvement.
Dive deeper into these topics in our docs:
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