WhatA middleware/wrapper that sits between coding agents and your codebase, enforcing configurable scope boundaries on what an LLM is allowed to modify per task.
SignalDevelopers consistently find that AI coding assistants modify far more code than requested — refactoring, renaming, restructuring — creating review burden and introducing subtle bugs, but current prompting-based solutions are unreliable.
Why NowCoding agents like Claude Code, Cursor, and Copilot have hit mainstream adoption in 2025-2026, but their tendency to over-edit is now a top productivity drain as codebases managed by AI grow larger.
MarketEvery developer using AI coding tools (~30M+ and growing fast); enterprise teams would pay $20-50/seat/month; competitors like Cursor and Copilot could add this but haven't prioritized it — current solutions are just prompt engineering.
MoatDataset of edit-scope patterns across thousands of repos builds a unique understanding of what 'minimal correct change' means per context, creating a data flywheel that improves enforcement over time.
Over-editing refers to a model modifying code beyond what is necessaryView discussion ↗ · Article ↗ · 388 pts · April 22, 2026
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