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EvoGuard Aims to Add Context-Aware Safety Layer Between AI Code and Production

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A new open-source platform called EvoGuard is being developed to sit between AI-assisted code generation tools and a repository's production branch. The platform evaluates pull requests not just on their code diff but against the broader repository context, including past rollbacks, incidents, architectural conventions, and dependency history. Its core premise is that AI coding agents can produce syntactically valid, test-passing code that still violates undocumented but critical codebase conventions. EvoGuard aims to convert fragmented repository history — spread across Git logs, CI systems, and incident reports — into structured 'repository memory' that informs future merge decisions. The project is currently in development and is available on GitHub under the handle modarresi1913/Evoguard.

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