"From autonomous agents to vibe coding, 2025 was the year generative AI stopped being theoretical and started doing real work-with a little fun along the way. Our readers gravitated toward features and tutorials that explored how to move AI into production software and reshape developer workflows, and to columnists who forced uncomfortable (and sometimes amusing) questions about the role of humans in the AI-driven workplace."
"Multi-agent systems? New protocols make it possible As autonomous agents are embedded in real workflows, the next challenge is getting them to talk to each other and the tools they depend on. This year, open standards like the Model Context Protocol moved from experimental specs to practical infrastructure, enabling agents to share context, invoke external services, and participate in coordinated multi-agent workflows across environments:"
Generative AI advanced from theory to practical use in 2025, with autonomous agents performing everyday software tasks and integrating into developer workflows. Agents became embedded in large-scale enterprise infrastructure and began powering real-world applications and platforms. The emergence of multi-agent coordination created a need for standard protocols to enable context sharing, external service invocation, and coordinated workflows. Open standards such as the Model Context Protocol moved from experimental specifications to production-ready infrastructure. Features and tutorials focused on moving AI into production, while commentary probed the changing role of humans in AI-driven workplaces.
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