Replacing AI Agents for Backend

Abstract—Creating modern applications using a heavy backend is a big task for developers. Front end can be created easily using scripting languages like HTML, CSS, java script, react frameworks etc. and many low code tools like WordPress, Figma, Bolt etc., but creating a fully working backend is a difficult part for developers, students or startups. Instead of writing thousands of lines of code we can build applications using AI agents. Sounds unreal right? But yes, it’s possible we can replace maximum of our backend logic using AI agents. Traditional backend development involves significant manual effort in writing, testing and maintaining code to support functionalities of backend such as authentication, database management, business logic and notifications. With emergence of AI and workflow orchestration platforms, we can see a high potential on how we can transform backend systems using these intelligent agents, with advancements in artificial intelligence and no-code orchestration platforms such as n8n, there is a drastic change where backend systems can be created, managed and evolved by AI agents. This paper explores how AI agents can transform backend development eliminating boilerplate code and introducing adaptive, scalable and intelligent architectures to design an application. Keywords—AI Agents, Backend Development, Workflow Automation, n8n, No-Code Platforms, Intelligent Systems, Application Architecture, Natural Language Processing, Low-Code Development, Large Language Models (LLMs), Orchestration Tools, Business Logic Automation, API Integration, Smart Workflows

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-06-13
DOI
https://doi.org/10.55041/ijsrem.ncft011
Citations
1
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
2.48
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article

Replacing AI Agents for Backend

Basaveni Siri Mallika Rao, Sai Santosh Goud Bandari
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Multi-Agent Systems and Negotiation
2.48
article

Replacing AI Agents for Backend

Basaveni Siri Mallika Rao, Sai Santosh Goud Bandari
article en
1 citations

Abstract

Abstract—Creating modern applications using a heavy backend is a big task for developers. Front end can be created easily using scripting languages like HTML, CSS, java script, react frameworks etc. and many low code tools like WordPress, Figma, Bolt etc., but creating a fully working backend is a difficult part for developers, students or startups. Instead of writing thousands of lines of code we can build applications using AI agents. Sounds unreal right? But yes, it’s possible we can replace maximum of our backend logic using AI agents. Traditional backend development involves significant manual effort in writing, testing and maintaining code to support functionalities of backend such as authentication, database management, business logic and notifications. With emergence of AI and workflow orchestration platforms, we can see a high potential on how we can transform backend systems using these intelligent agents, with advancements in artificial intelligence and no-code orchestration platforms such as n8n, there is a drastic change where backend systems can be created, managed and evolved by AI agents. This paper explores how AI agents can transform backend development eliminating boilerplate code and introducing adaptive, scalable and intelligent architectures to design an application. Keywords—AI Agents, Backend Development, Workflow Automation, n8n, No-Code Platforms, Intelligent Systems, Application Architecture, Natural Language Processing, Low-Code Development, Large Language Models (LLMs), Orchestration Tools, Business Logic Automation, API Integration, Smart Workflows

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(06)
Openalex Percentile: Top 10%
Multi-Agent Systems and Negotiation
2.48
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