Bharath Hemachandran – QonfX Bangalore 2025 Speaker

Vibe Coding: The Unfiltered Future of Developer-AI Collaboration

Abstract

As AI tools rapidly embed themselves into the software development lifecycle, a new style of coding is emerging—Vibe Coding. Think of it as intuitive, flow-driven programming where developers co-create with AI models in a conversational and context-rich loop. But what does this mean for software quality, team workflows, and engineering leadership?

In this session, Bharath Hemachandran, a seasoned AI/ML educator and practitioner, will decode what vibe coding truly is—beyond the buzz. Tailored for engineering leaders, he’ll walk through the philosophy, tools, and real-world use cases behind vibe coding. You’ll learn how to identify where it can drive efficiency, how to empower your teams to use it responsibly, and—perhaps most crucially—where the red flags lie. From hallucinations to hidden biases and overreliance, to security risks, vibe coding isn’t without its shadows. If you’re planning to future-proof your engineering team, understanding vibe coding isn’t optional—it’s essential.

Key Takeaways

  • Understand what vibe coding is and how it’s changing the way developers interact with AI.
  • Learn how to introduce vibe coding safely and productively within your engineering org.
  • Discover the hidden risks, ethical landmines, and potential quality pitfalls of this new paradigm.

About Speaker

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Bharath Hemachandran

Principal Consultant, ThoughtWorks

Bharath Kumar Hemachandran is a Principal Consultant at Thoughtworks India, where he led the Data & AI SL Ops, the Data Academy Program, and the India & ME QA teams. He has over 19 years of experience in the software industry, working in various roles from developer to IT head. He is an innovative technologist and thought leader in the fields of cloud-native platform infrastructure, public cloud deployment, highly scalable and available infrastructure, and Generative AI. He is also an accomplished writer, with several published articles and blog posts on topics such as data and AI quality, data mesh, and generative AI.

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Topic details coming soon..

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