Effective performance optimization requires understanding the system before acting. Rather than guessing, developers should apply the scientific method: form hypotheses, measure factual resource usage (CPU, RAM, disk, network), identify real bottlenecks, and only then optimize. Premature or misdirected optimization wastes time. Library authors should provide thin, transparent abstractions so downstream developers can understand and audit behavior. Application developers should take ownership of their entire stack, including dependencies, and be willing to dig into and patch third-party code when bottlenecks arise there.
Sort: