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RayStack 1.3.0 Adds dev-refactor Skill to Clean Up Codebases for AI Agents

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A DEV Community post argues that AI coding agents perform only as well as the codebases they work in, since they lack the implicit knowledge human developers build up over time. Duplicated logic, undocumented call orders, and untested modules can cause an agent to make partial or incorrect fixes that still pass tests. The author notes that messy code also raises the context an agent must hold, making changes more costly and error-prone. To address this, RayStack 1.3.0 introduces a dev-refactor skill that restructures a repo or selected folder without altering its behavior. The process begins with a scope choice and a test baseline, adds characterization tests for untested code, and logs identified problems before any redesign is applied.

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