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Artificial Intelligence is entering a new phase. While the last few years were defined by the mainstream adoption of Large Language Models (LLMs), the coming years will be driven by these systems' ability to access data, interact with applications and execute tasks across real-world enterprise environments. In this landscape, the Model Context Protocol (MCP) emerges as a critical technology enabling this evolution. Although it remains a relatively new concept outside technica

Artificial intelligence is driving a structural shift in software development, not only in how code is produced, but across the entire project management lifecycle. This article examines how traditional practices are being challenged, how new approaches are beginning to emerge and how teams such as those at Axoma are adapting their processes to operate with greater clarity, quality and efficiency in this new environment. The adoption of artificial intelligence in software dev