GitHub is pitching Copilot as a desktop control plane, not just an autocomplete sidebar. The app runs parallel agent sessions, explores code, iterates on diffs, uses a browser canvas, and can finish with agent merge. Developers should care if they want AI work to feel less like single-threaded chat and more like a supervised, testable workflow.
Cursor becomes useful when you treat agents like hires: give them durable context via markdown skills and real capabilities via project tooling, not just prompts. The sharp bit is wiring project-level scaffolds, slash commands, and external CLIs so the assistant can read repo conventions, fix silent variable bugs, and actually execute GTM tasks. Developers should care because the pattern generalizes to any repo: portable context, model flexibility, and fewer fragile prompt-only workflows.