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A developer modernized a 20-year-old Java 1.5 codebase using AI and Docker. Initial LLM prompts produced plausible but incorrect answers. Progress came by grounding AI in evidence, using forensic code audits, a stable Docker environment, and test-protected refactoring. The AI was most useful when constrained by clear roles and evidence.
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