Fernando demonstrates a workflow in which a coordinating Grok-based agent delegates implementation to Cursor cloud agents and follows their pull requests. He assigns each project a persistent manager role, gives it outcome-level tasks and lets it open, review and revise parallel work without keeping the editor in the foreground.
The system relies on repository instructions, Cursor plugins and GitHub Actions rather than a single long prompt. Automated reviewers examine each pull request for defects, while specialized agents can take follow-up tasks and stack new changes on top of earlier branches.
Fernando emphasizes observability when the workflow breaks. Screenshots, structured logs and clear reproduction steps give agents enough evidence to diagnose user-facing bugs, verify that a fix addresses the actual failure and avoid making plausible but irrelevant changes.
The live build also exposes practical limits. Providers fail, long-running tasks still need review, costs and plan limits matter, and several agents can create overlapping work. Fernando's conclusion is that autonomy becomes useful when the surrounding project supplies testable tasks, durable context and a disciplined pull-request loop.
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