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Humans + Machines: Shaping the Future of Software Development

Luís Ribeiro argues that software’s future belongs to hybrid teams: humans who decide, guide, and take responsibility—and machines that generate, suggest, and execute tirelessly.

AI, especially advanced language models like GPTs, has moved from buzzword to daily tool. But it doesn’t replace human thought—it amplifies it. Machines excel when given clear objectives, context, and constraints, while humans remain responsible for validation, governance, and final decisions. The risk isn’t AI making mistakes—it’s humans delegating without oversight.

In Cobol/Mainframe environments, AI accelerates modernization, automates repetitive tasks, and preserves decades of expertise. Humans remain central, curating outputs, defining acceptance criteria, and ensuring accountability. Far from reducing jobs, AI equips professionals with “superpowers,” making teams faster, more productive, and able to handle more client demands.

The takeaway: AI doesn’t replace us—it augments us. The future of software lies in building structured, governed human + machine teams where both roles complement each other. The value is in the “plus.”