Global Conference on Intelligent Software Architecture, AI/ML Engineering & Cloud Computing

Theme: "Bridging Intelligent Software Architecture, AI/ML Engineering, and Cloud-Native Technologies for the Future"

12-13, November 2026 Seri Pacific Hotel Kuala Lumpur, Kuala Lumpur, Malaysia
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Sai Santosh Goud Bandari
Featured Speaker

Sai Santosh Goud Bandari

Session Speaker

USA

Biography

Sai Santhosh Goud Bandari is an AI Engineer and speaker specializing in practical enterprise AI adoption,Generative AI systems, Retrieval-Augmented Generation (RAG), intelligent automation, and scalable decisionsystems. He works across banking, insurance, healthcare, and enterprise workflows—helping organizations movefrom AI experimentation to production impact.

Abstract Title

Title: Vibe Coding Through Cursor - Abstract:  Vibe Coding represents an emerging approach to software development in which developers collaborate with generative artificial intelligence to translate natural-language descriptions into functional code. This approach has the potential to accelerate prototyping, reduce development effort, and make software creation more accessible. However, effective adoption requires more than simply generating code with AI; developers must understand how to validate, refine, test, and govern AI-generated solutions.This presentation explores the concept of Vibe Coding, its role in modern software engineering, and the evolving relationship between developers and AI coding assistants. It highlights how AI can support requirements interpretation, code generation, debugging, application development, and iterative refinement while keeping human developers involved in decision-making and quality assurance. The discussion also emphasizes practical considerations such as code accuracy, security, maintainability, testing, and responsible use of AI-generated code.By combining human expertise with generative AI capabilities, Vibe Coding offers a potential pathway toward faster and more collaborative software development. The presentation provides a practical perspective on how professionals can incorporate AI-assisted coding into their workflows while maintaining engineering discipline and human oversight.