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This expert briefing details the "Agentic Shift" in Microsoft’s Power Platform, asserting that Corporate Vice President Charles Lamanna’s claim that low-code is "dead" signifies an evolution rather than an end, moving from visual-first development to an intent-first agentic model. The core shift, formalized at the Power Platform Community Conference (PPCC), involves replacing manual configuration with generative AI, where users describe their desired outcome in natural language and AI Agents autonomously create the application logic. The new strategy, based on the three pillars of Apps, Copilot, and Agents, positions traditional low-code as the robust execution engine governed by AI intelligence. However, the report stresses two major structural constraints: the new AI Agent flows are approximately 130 times more expensive than traditional low-code, mandating a dual automation strategy, and the inherent risk of non-determinism in AI necessitates the mandatory use of Managed Environments to ensure governance and control over costly, powerful agents.
By AgemaThis expert briefing details the "Agentic Shift" in Microsoft’s Power Platform, asserting that Corporate Vice President Charles Lamanna’s claim that low-code is "dead" signifies an evolution rather than an end, moving from visual-first development to an intent-first agentic model. The core shift, formalized at the Power Platform Community Conference (PPCC), involves replacing manual configuration with generative AI, where users describe their desired outcome in natural language and AI Agents autonomously create the application logic. The new strategy, based on the three pillars of Apps, Copilot, and Agents, positions traditional low-code as the robust execution engine governed by AI intelligence. However, the report stresses two major structural constraints: the new AI Agent flows are approximately 130 times more expensive than traditional low-code, mandating a dual automation strategy, and the inherent risk of non-determinism in AI necessitates the mandatory use of Managed Environments to ensure governance and control over costly, powerful agents.