DigitalCommons@Kennesaw State University - C-Day Computing Showcase: GRP-071 Next-Generation DAPPs Development with Self-Service AI Agents

 

Presenter Information

Viraaji MothukuriFollow

Location

https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php

Streaming Media

Event Website

http://agenticdapp.s3-website-us-east-1.amazonaws.com

Document Type

Event

Start Date

15-4-2025 4:00 PM

Description

Our research introduces a decentralized agent mesh architecture that transforms blockchain application development from fragmented human-driven processes to autonomous, systematized workflows through human-AI collaboration. We’ve reimagined blockchain application development from the ground up by creating a decentralized agent ecosystem where humans and AI collaborate as peers rather than tools. Our innovation lies in the autonomous yet interconnected nature of specialized LLM powered agents handling contract creation, backend logic, frontend interfaces, and security auditing. Our proposed architecture distributes expertise across AI agents that operate in a peer-to-peer network. Furthermore, to address the emerging threat of systemic vulnerabilities from AI-generated code patterns, we’ve integrated diverse verification methods that challenge and strengthen code before deployment.

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Apr 15th, 4:00 PM

GRP-071 Next-Generation DAPPs Development with Self-Service AI Agents

https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php

Our research introduces a decentralized agent mesh architecture that transforms blockchain application development from fragmented human-driven processes to autonomous, systematized workflows through human-AI collaboration. We’ve reimagined blockchain application development from the ground up by creating a decentralized agent ecosystem where humans and AI collaborate as peers rather than tools. Our innovation lies in the autonomous yet interconnected nature of specialized LLM powered agents handling contract creation, backend logic, frontend interfaces, and security auditing. Our proposed architecture distributes expertise across AI agents that operate in a peer-to-peer network. Furthermore, to address the emerging threat of systemic vulnerabilities from AI-generated code patterns, we’ve integrated diverse verification methods that challenge and strengthen code before deployment.

https://digitalcommons.kennesaw.edu/cday/Spring_2025/PhD_Research/4