Varun Srinivas Founder & CEO Of Therix.ai And Co-Founder At Coditas On Building Real-World AI Solutions

In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief at TechDogs, sits down with Varun Srinivas, Founder & CEO of Therix.ai and Co-Founder at Coditas, to explore what it truly takes to turn AI prototypes into scalable, real-world solutions.

Over the past decade, Varun has been at the forefront of transforming solid engineering principles into practical AI deployments. In this candid conversation, he breaks away from buzzwords and highlights how AI must be built with people, not just algorithms, at the center.

The discussion kicks off with an eye-opening statement: “AI isn’t coming for your job—but someone using AI might.” Varun quickly dismantles the fear-driven narratives surrounding AI and instead urges leaders to focus on empowering teams, fostering experimentation, and applying disciplined engineering practices.

One standout topic is the rise of “vibe coding”—the fast, intuitive, generative AI-driven approach to development. While this style is excellent for prototyping, Varun stresses that it cannot replace structured engineering. Without robust testing, constant evaluation, and system observability, vibe coding can crumble under real-world production demands.

Top Takeaways from the Episode:

• Prototypes ≠ Production: AI isn’t magic; it needs the same rigor as any software product.

• Adoption is Cultural: Break the myths around AI and celebrate small, iterative successes.

• Clean Code Still Matters: Generative AI doesn’t excuse poor design—clarity, simplicity, and structure still rule.

• Empower, Don’t Control: Great leaders guide with curiosity, not heavy-handed oversight.

• Agility is Essential: AI strategies must evolve rapidly, sometimes week to week—not annually.

Varun also highlights a crucial but often overlooked point—the difference between good data and usable data. It’s not just about neat rows in a database but providing AI models with timely, relevant context. He advocates for strong feedback loops, collaborative team efforts, and making AI deployment an inclusive, organization-wide journey rather than an isolated technical project.

This episode is essential for anyone navigating:

• AI-powered product development

• Engineering teams experimenting with GenAI

• Enterprises driving AI transformation

• Startups scaling MVPs into production-ready systems

Tune in for a refreshing, real-world perspective on what it takes to move AI beyond the prototype—and how culture, code, and collaboration need to align for true success.

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