Varun Srinivas Founder & CEO Of Therix.ai And Co-Founder At Coditas On Building Real-World AI Soluti (Computers - Software)
Item ID 133598870 in Category: Computers - Software
Varun Srinivas Founder & CEO Of Therix.ai And Co-Founder At Coditas On Building Real-World AI Soluti | |
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 build scalable AI systems that thrive beyond flashy demos and into real-world applications. With over a decade of experience bridging software fundamentals with AI scalability, Varun brings clarity to a space often clouded by buzzwords. His central message is refreshingly grounded: AI isn’t about replacing people—it’s about empowering them. As he puts it, “AI won’t replace your job. But someone using AI might.” However, Varun challenges alarmist narratives and urges companies to shift focus from fear to innovation—encouraging cultures built around experimentation, engineering discipline, and human-centered execution. One of the standout topics in the discussion is the rise of “vibe coding”—a fast, instinctive coding approach enabled by generative AI. While powerful for prototyping, Varun warns that this method alone doesn’t scale. Without thoughtful evaluation, rigorous testing, and robust observability, vibe-coded systems often break down in production. To hear the full conversation, check out the episode and explore how real-world AI can be made reliable, repeatable, and responsible. Key Takeaways From the Discussion: Prototypes Aren’t Products: Treat AI systems like software—not sorcery. Adoption Is Cultural: Drive success by celebrating early wins and making the tech more accessible. Code Quality Still Counts: Even with GenAI, clarity and simplicity remain foundational. Lead Without Overriding: Great leaders guide through inquiry, not control. Stay Agile: AI roadmaps should evolve every few days—not follow a rigid annual plan. Varun also makes a clear distinction between “good data” and “usable data.” Clean data isn’t enough—it must be timely and contextual to be effective in model training and decision-making. He advocates for tighter product feedback loops and cross-functional collaboration, ensuring AI is not a siloed initiative but a shared mission. This episode is a must-listen for: Teams working on AI-powered product development Engineering orgs diving into GenAI Enterprise leaders guiding digital transformation Startups moving from MVPs to production-ready systems You’ll come away with a practical roadmap to align AI with people, process, and product. | |
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2025-08-18 (0.425 sec)