AI agentic frameworks are emerging to enable the development of intelligent systems that can reason, act, and adapt autonomously. These frameworks provide a structured approach for integrating large language models into applications, handling complex tasks like context management and decision-making without manual coding. This shift is crucial as developers move from deterministic logic to building adaptive systems capable of handling unforeseen scenarios, marking a significant evolution in software engineering practices.
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