On July 9, IBM expanded its Bob agentic development platform with formal multi-agent orchestration, isolated subagents, and a built-in cost analytics dashboard called Bobalytics. Three premium packages targeting COBOL mainframes, IBM i environments, and Java modernization round out the update. The announcement lands one day after a Microsoft evaluation found that upgrading from one generation of AI model to the next multiplied token consumption by a factor of 10 to 12 in complex agentic coding scenarios, with one test run consuming 69 million tokens in a single task. GitHub's June 1 shift to token-based billing for its 4.7 million paid Copilot subscribers generated projections of cost increases between 10x and 50x for developers running agentic sessions. Bob's new subagents perform work inside an isolated context window, with only the result returning to the main workflow. IBM's product page cites a roughly 40% reduction in AI compute spend from task-aware model routing combined with subagent isolation, though this figure is IBM-stated and has not been independently audited. Combined with parallel tool calling, the subagent architecture is designed to reduce both the cost and the latency of multi-step development work.