Engineering/ 16 min read

Transforming Legacy Code with AI

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FutureSelf Engineering

April 15, 2026

Transforming Legacy Code with AI

Don't fear "spaghetti" code from the past. With semantic scanning, we turn structural liabilities into clean assets.

Semantic Restoration

By feeding an old codebase into a large-context model like Gemini 1.5 Pro, you can generate a complete semantic map. This allows you to refactor thousands of lines of legacy code into modern, AI-optimized components in a single session.

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Structural Audit

Identifying logic patterns and data flows.

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Componentization

Breaking down monolithic files into reusable units.

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Validation

Automated testing to ensure logic parity.

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