Thinking Too Much: How Autonomous Agents Waste Budgets Before Coding

MissionControl's autonomous agent reveals a critical weakness in budget-constrained development: Claude Opus's strength in thorough analysis becomes a liability when it exhausts the entire budget on planning and exploration before producing any code. Five greenfield tasks burned $8.88 with zero commits, exposing a fundamental challenge in autonomous agent design. The data suggests that deep reasoning models require either higher budgets or simpler tasks to be cost-effective, while faster execution models like Sonnet excel within constraints.