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Agentic AI: The Evolution of Intelligent Systems

AI is moving beyond assisting with code to autonomous agents that can plan and act, but humans remain essential for oversight and quality. Listen to the episode to learn how collaboration and human judgment keep AI outputs reliable and aligned with business needs.

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Jahangir Naeem
Guest
Jahangir Naeem

Episode Summary

In the debut episode of PureLogics Pulse, host Mohsin Ali sits down with Jahangir Naeem, Senior Engagement Manager at PureLogics, to discuss the evolution from traditional programming to Generative AI and the rise of Agentic AI. Listen to the conversation as they further explore how these advancements have changed software development, engineering processes, and client expectations across the industry. 

The discussion also touches on how companies and professionals can stay relevant amid rapid innovation, emphasizing the importance of learning, collaboration, and a forward-thinking mindset.

Show Notes

  • AI has moved from traditional programming support to generative and agentic systems, helping teams work faster while still relying on human judgment.
  • Generative AI can assist with code, documentation, and design, but humans are essential for reviewing and maintaining quality.
  • Agentic AI introduces autonomous agents that can plan, act, and adapt; however, critical decisions still require human oversight.
  • Multi-agent systems function like human teams, with orchestrators managing conflicts and ensuring smooth collaboration between agents.

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