To perpetuate means to cause something to continue indefinitely — to keep it going beyond the point where it might naturally end. You perpetuate a bug by shipping a workaround instead of fixing the root cause. You perpetuate a pattern by repeating the same architectural decision in each new project.
Origin
The word derives from Latin perpetuare, from perpetuus meaning continuous. Where perpetual describes the state of continuity, perpetuate describes the act of maintaining it. The agent of perpetuation may be a person, a system, an institution, or a habit.
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🎧 Podcast 2 — Daily Use
Perpetuate in Conversation
Two British speakers · Real everyday dialogue
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🌟 Podcast 3 — AI Prompt Engineering
Perpetuate — AI Prompts
5 AI prompts for developers · Copy & Read each prompt aloud
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Act as a senior engineer reviewing my codebase on Replit. I have a pattern being perpetuated across many files — a global mutable config object that is modified at runtime. Explain why this is an anti-pattern, what problems it perpetuates over time, and how to refactor it to a safer dependency-injection approach in Node.js.
Explain how copy-paste coding perpetuates technical debt. Give me three concrete examples of how a copied code block becomes harder to maintain over time, and show me how to extract repeated logic into a reusable utility function in JavaScript or TypeScript.
I am working on a team that perpetuates the same database schema mistakes in every new project — no indexes on foreign keys, nullable columns used as booleans, no timestamps. Act as a database consultant and give me a checklist of the most commonly perpetuated schema anti-patterns and how to fix them in PostgreSQL.
Explain how legacy authentication patterns get perpetuated in web applications — for example storing passwords in plain text, using MD5 hashes, or rolling custom session tokens. What modern alternatives should replace these, and how do I migrate existing user data safely in a Replit Node.js app?
What practices in software teams perpetuate poor code quality — such as skipping code review, merging without tests, or ignoring lint warnings? Act as an engineering manager and give me a practical set of team norms and automated checks that prevent these patterns from being perpetuated in a growing codebase.