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DevFlow: An Agentic AI Architecture Planning Platform for Software Engineering Workflows
  • Author(s): Ravibharathi V; Ram Ganesh S; Nitheesh V
  • Paper ID: 1717845
  • Page: 2203-2204
  • Published Date: 18-05-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 11 May-2026
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Abstract

DevFlow is an AI-powered architecture planning and workflow orchestration platform designed to assist developers in generating scalable software architectures, comparing implementation strategies, and producing execution blueprints before development begins. The platform integrates React, TypeScript, Tailwind CSS, and Gemini AI reasoning models to create a planning-first engineering environment focused on architectural intelligence. This paper presents a detailed analysis of the DevFlow platform including repository structure, AI workflow design, engineering quality, scalability potential, security considerations, and future enhancement opportunities.

Keywords

Agentic AI, Architecture Planning, Gemini AI, Software Engineering, Workflow Orchestration.

Citations

IRE Journals:
Ravibharathi V, Ram Ganesh S, Nitheesh V "DevFlow: An Agentic AI Architecture Planning Platform for Software Engineering Workflows" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2203-2204 https://doi.org/10.64388/IREV9I11-1717845

IEEE:
Ravibharathi V, Ram Ganesh S, Nitheesh V "DevFlow: An Agentic AI Architecture Planning Platform for Software Engineering Workflows" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717845

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