LOOM: Open-Source Trust Layer Adds Memory Safety Checks for AI-Written Code

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LOOM is a small, open-source programming language designed to act as a verification layer for AI-generated code, ensuring programs only do what they explicitly promise before execution. The project addresses a core concern in AI development: that the same system writing code may also write the tests meant to validate it, creating a conflict of interest in quality assurance. A recent update extends LOOM's trust model to memory management in WebAssembly, replacing unpredictable overflow crashes with deliberate, controlled stops that the language itself governs. The project now runs 389 automated checks, all passing, and supports cross-platform execution including Python, JavaScript, and browser-based WebAssembly with consistent results. Developed solo by a Ukraine-based engineer, LOOM's next planned feature is an enforcement gate that would require AI agents to seek approval before performing real-world actions such as editing files or pushing code to a repository.

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