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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50380

Devspace: A Social Hub for Developers to Connect, Share and Grow Professionally Using Generative AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50380

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50380

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RT

Ratnamala Tallari

DG

Deepak Gugulothu

PN

Pranay Nadagana

JPR

Jeedimadla Pushpan Reddy

SV

Sai Vamshi

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Abstract

– DevSpace is a next-generation social platform engineered to foster collaboration, networking, and professional growth among developers. Leveraging cutting-edge Generative AI technologies, particularly Retrieval-Augmented Generation (RAG) and Transformer-based models, DevSpace delivers real-time code recommendations, AI-driven discussions, and intelligent networking. This paper presents an ensemble AI approach to optimize developer interactions on the platform through context-aware content generation, recommendation systems, and adaptive learning models. DevSpace not only enhances productivity and knowledge sharing but also encourages continuous learning by providing dynamic tools such as AI-generated tutorials, debugging support, and project ideation tailored to user profiles.

KEYWORDS

Retrieval-Augmented Generation (RAG) Generative AI Developer Collaboration Transformer Models AI Recommendation Engine Social Coding Platform Context-Aware Systems Ensemble Learning Personalized Content Intelligent Networking

Cite This Article

Ratnamala Tallari, Deepak Gugulothu, Pranay Nadagana, Jeedimadla Pushpan Reddy, Sai Vamshi, "Devspace: A Social Hub for Developers to Connect, Share and Grow Professionally Using Generative AI," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50380

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Publication Date

6/15/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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