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

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.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2025-04-15
Primary Topic
Medical Malpractice and Liability Issues
Type
article
Field-Weighted Citation Impact
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article

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

DigitalCommons - Kennesaw State University (Kennesaw State University)
Medical Malpractice and Liability Issues
article

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

article en

Abstract

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.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Openalex Percentile: Top 37%
Medical Malpractice and Liability Issues
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