IEEE Session Explores Agentic AI in Software Engineering
Tech experts and faculty discuss integrating agentic AI tools into enterprise development workflows and academic training.
Updated on Oct. 16, 2026 in Artificial Intelligence
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The IEEE Computer Society Columbia Section Chapter held a technical session to examine the role of agentic AI in software engineering. Experts demonstrated how these tools can automate enterprise application design and streamline development workflows.
Why it matters
Agentic AI tools allow for the rapid generation of data structures and application models, significantly reducing traditional development overhead. Integrating these technologies remains essential for aligning modern academic curricula with industry standards.
Agentic AI tools demonstrated during the session can automatically generate workflows, data structures, and application models from high-level business requirements. The group advocated for deploying these tools through low-risk pilots.
The players
IEEE Computer Society Columbia Section
This professional organization connects computing engineers and scientists to share technical knowledge through workshops and chapters.
Sairohith Thummarakoti
He is a technology professional who demonstrated the application of AI-driven design tools during the technical session.
University of North Carolina at Greensboro
This public research university in Greensboro is one of the academic institutions currently evaluating AI curriculum alignment.
The details
Sairohith Thummarakoti showcased Pega Blueprint to illustrate how AI-driven design converts business needs into functional enterprise applications. The session proposed a secure integration strategy that relies on automated verification and continuous human review.
Timeline
The IEEE Computer Society Columbia Section technical session took place on October 16, 2026.
The Tech Race
This session reflects the broader industry shift toward agentic systems that replace legacy manual coding processes with automated architecture generation. By moving beyond simple code completion, these agents position themselves as foundational components in modern enterprise software stacks.
Software engineers and local tech professionals in Greensboro may see faster application design cycles and reduced overhead as these AI agents enter corporate workflows. Integrating these tools requires adopting new verification habits to ensure the accuracy of automatically generated data structures.
The takeaway
Adopting agentic AI requires a careful, incremental approach that prioritizes automated testing and human oversight. Organizations that successfully integrate these tools can significantly accelerate their design phase while maintaining high standards for application reliability.
Further reading
For more information on the evolving landscape of automated development, explore the Artificial Intelligence section.
Source note: This article includes information reported by IEEE Computer Society.
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