Algorithms turn a problem into a repeatable sequence of decisions. This collection explains the methods behind MonkeyTactics tools and related technical experiments, including search, scoring, filtering, ranking, and optimization. The articles emphasize understandable reasoning, practical constraints, and why a particular approach works—not just the finished answer produced by the software.
Real applications rarely have one universally best algorithm. A browser tool must balance accuracy, speed, memory, download size, and responsiveness on different devices. A word-game solver may need to trade exhaustive search for a well-chosen heuristic, while a calculator may prioritize transparent and reproducible formulas. These guides show how those constraints influence implementation and how to judge whether an approach fits its intended task.
No advanced computer-science background is required; important terms are introduced in context and connected to behavior you can observe in the finished tool.