This is the inevitable consequence of the ‘cloud-telemetry-first’ approach to AI developer tools. If your AI coding assistants or workflow agents are logging your terminal history, active files, or screen activity back to a centralized cloud database for ‘orchestration’ or ‘training,’ you have essentially installed corporate spyware. It doesn’t matter if it’s Meta, Microsoft, or a startup—a single misconfigured pipeline or data breach will expose trade secrets, API keys, and private credentials. AI agents must have hard local boundaries. Tool execution (reading files, executing shell commands, querying local databases) must happen entirely locally under a zero-knowledge architecture, and every single execution must require explicit user-consent dialogs. Sending execution telemetry back to the cloud is a massive security hazard that corporations are only beginning to realize.