Stop Letting AI Agents Go Rogue on Large Codebases: The large-scale-refactor Skill

A comprehensive guide to OpenSite AI's open-source skill that gives AI coding agents enterprise-grade guardrails for migrations, multi-session refactors, and parallelized tasks. We've all been ther...

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Stop Letting AI Agents Go Rogue on Large Codebases: The large-scale-refactor Skill

Source: DEV Community

A comprehensive guide to OpenSite AI's open-source skill that gives AI coding agents enterprise-grade guardrails for migrations, multi-session refactors, and parallelized tasks. We've all been there. You ask an AI agent to "migrate my components to TypeScript." An hour later you check back and it has renamed your props, refactored three utility functions, installed two new packages, reorganized your folder structure, and changed your ESLint config "while it was in there." The task was 40 files. It touched 140. This is the core problem with AI agents on large, long-running tasks: they don't have a scope reflex. Humans instinctively know when they've drifted. Agents don't — and the bigger the task, the worse the drift gets. The large-scale-refactor skill from OpenSite AI is a free, open-source agent skill that solves this by giving your AI agent a complete operating protocol for any task touching 50+ files — migrations, framework upgrades, codebase-wide renames, or anything running acros

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