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Multi-Agent Human-AI Systems with Low-Code Platforms Enabling Adaptive Web Services and Real-Time Anomaly Remediation in Distributed Architectures

2026-01-26

Abstract excerpt

Modern distributed web architectures face escalating challenges from unpredictable anomalies and dynamic user demands, where traditional monitoring and remediation fall short in delivering real-time resilience. This paper presents a novel multi-agent human-AI framework integrated with low-code platforms that autonomously adapts web services while executing proactive anomaly remediation across hybrid edge-cloud env...

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Literature Corpus work
fcebc617-6c89-5259-b0a3-b75dcaed5546
DOI
10.20944/preprints202601.1877.v1
Open publication

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Multi-Agent Human-AI Systems with Low-Code Platforms Enabling Adaptive Web Services and Real-Time Anomaly Remediation in Distributed ArchitecturesDOI 10.20944/preprints202601.1877.v1
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