From Cost-Saving to Quality: Mastering AI Agent Economics

As GitHub moves to usage-based billing, engineering teams must shift their focus from minimizing token spend to maximizing agent accuracy. Improving per-step quality is critical to overcoming the 'compound error problem' where minor inaccuracies lead to catastrophic failure in complex workflows.