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Your AI Assistant Wrote Code. Now, Validate It.

DEV Community·Ken Deng·27 days ago
#saiFdmgA
#ai#automation#for#freelance#code#snippet
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You’ve generated the perfect code snippet with AI. It looks clean, matches the API documentation, and solves the user's problem. But can you trust it? As a technical writer, you might not be a developer, but you are the last line of defense before that code reaches your audience. A single syntax error undermines your credibility. The Principle of Mechanical Validation Your core strategy is Mechanical Validation . This means using automated, non-subjective tools to check the code's basic integrity before you ever consider its logic. You don't need to debug; you need to let dedicated tools perform initial, critical sanity checks. This framework shifts your role from code interpreter to quality orchestrator. One Essential Tool: ESLint For JavaScript, ESLint is your first validator. Configure it with a basic rule set focused on catching syntax errors and common pitfalls. You can run it locally via a script or use one of many online linter sandboxes.…

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