DevFlow: An Agentic AI Architecture Planning Platform for Software Engineering Workflows

@article{1717845,
      author = {Ravibharathi V, Ram Ganesh S, Nitheesh V},
      title = {DevFlow: An Agentic AI Architecture Planning Platform for Software Engineering Workflows},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {2203-2204},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1717845.pdf},
      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.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1717845}
  }