I spent $9,000 on AI agents and ended up building Crossweft to check what they break between files

A developer spent over $9,000 and a billion tokens trying to implement security in her application using AI agents. The main issue was code desynchronization: changes made by agents in one file often caused bugs in other parts of the program. After numerous failed attempts to coordinate security layers, the author created Crossweft, an open-source plugin for Claude Code and Codex. This tool prevents an AI agent from marking a task as 'complete' until all interconnected parts of the project are properly synchronized. The solution helps avoid the 'domino effect' during automated coding, ensuring the integrity of the application's architecture. The tool aims to simplify working with AI assistants, making the development process more predictable and reliable.