The best AI agents cost less than you think

Software development is evolving into autonomous "software factories" where AI agents orchestrate the entire lifecycle from signal triage to code deployment. High-performance engineering relies on model-independent harnesses that optimize canonical workflows—such as code review and incident response—rather than depending on a single model provider. This strategy leverages the "platonic representation hypothesis," which posits that intelligence is a discoverable commodity, rendering model-specific lock-in less effective than workflow-driven automation. While agents excel at executing structured tasks, human oversight remains critical for maintaining architectural integrity and verifying complex, multi-step "missions." By implementing deterministic feedback loops and rigorous evaluation benchmarks, organizations can achieve significant cost and performance gains, moving beyond the limitations of frontier model subsidies toward a more modular, efficient, and cost-effective paradigm for knowledge work.