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AI Should Map Legacy Systems Before Any Rewrite, Not Just Accelerate Migration

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A perspective piece on DEV Community argues that developers rushing to rewrite legacy systems with AI assistance are skipping a critical first step: deeply understanding what those systems actually do. Older applications often contain undocumented business rules, hard-won edge-case handling, and integration dependencies that can be lost if code is deleted without analysis. The author contends that AI tools are better deployed to trace dependencies, explain unfamiliar code, and map existing system behavior before any modernization begins. Simply converting a legacy codebase into a newer language or framework can reproduce outdated architecture rather than fix it, a problem the author calls 'a modern implementation of an outdated design.' Incremental approaches such as the Strangler Fig Pattern, supported by AI-generated characterization tests, are recommended over high-risk big-bang rewrites.

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AI Should Map Legacy Systems Before Any Rewrite, Not Just Accelerate Migration · ShortSingh