Optimizing agent-based engineering requires shifting focus from token and CPU limitations to managing human attention. By implementing automated workflows, engineers can significantly reduce the need for constant manual oversight. Three essential tools facilitate this: a transcript-based skill that forces developers to provide context for pull requests, an auto-review system that provides feedback directly within the coding session, and "Crabbox," a sandboxed environment that allows for isolated testing across multiple operating systems. These mechanisms enable agents to verify their own work, generate visual proof of fixes, and maintain consistent project standards. While agents remain limited in their ability to grasp high-level architectural design, these automated feedback loops allow for more efficient development, enabling humans to focus on strategic decision-making rather than repetitive verification tasks.
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