Idu Namma Tech-u

About Idu Namma Tech-u

Idu Namma Tech-u (இது நம்ம டெக்கு): Your Daily Tamil Tech & Business Podcast. Join with Dhanush Kandhan and a dynamic team of professionals from across Tamil Nadu as they bring you real-life tech insights! Dive into exclusive interviews with tech experts, gain professional advice, and stay updated on the latest trends, all in Namma Tamil! Perfect for both professionals and students seeking quick, valuable, and engaging content. Tune in for your daily dose of tech wisdom!

Publisher

Dhanush Kandhan

Category

technology

Language

ta

Explicit

No

First episode

30 Aug 2023

Latest episode

24 Oct 2026

Latest episodes

68 episodes in the feed.

1. 

   24 Oct 2026

   Let's Experience DevFest'26

   What brings a developer community together and what do people take home beyond the sessions? Chennai days (DevFest 2023 episode): listen here (https://open.spotify.com/episode/5HV8LGYmYDeSf1FXyQLcEZ?si=MuBs40obTey47EawxQ43_g) In this special episode of Idu Namma Tech-u, our team takes you into DevFest Chennai 2026 through short, thoughtful conversations with the people who make it happen. From students finding their direction and professionals sharing their perspectives to speakers, volunteers, organizers, creators, and community leaders, this episode explores the human side of a developer conference. We talk about learning in the age of AI, finding opportunities, building inclusive communities, and the work behind bringing people together. Along the way, we ask what excites people about technology and what they hope the next generation of developers will do differently. Recorded in Tamil and English, with the sounds and energy of DevFest around us. Hosts Meenakshi (https://www.linkedin.com/in/meenakshi-ganesan-219261285/) and Dhanush People on the mic Nikhil (https://www.linkedin.com/in/nikhilkumaran/), Swathi (https://www.linkedin.com/in/swaathi/), Sanju (https://www.linkedin.com/in/imsanju/), Shangeeth (https://www.linkedin.com/in/shangeethsivan/), Shreya (https://www.linkedin.com/in/shreya-sevelar-07a762259/), Naveen (https://www.linkedin.com/in/naveen-s/), Bhavani (https://www.linkedin.com/in/bhavanicodes/), Harine (https://www.linkedin.com/in/harinekr/), Hareesh Rajendran (https://www.linkedin.com/in/hareesh-r/), Ram (https://www.linkedin.com/in/a-ramachandran/) and Ishana (https://www.linkedin.com/in/ishana-sabrish-a842092a2/) Chapters 00:00 Welcome to the DevFest audio experience 05:42 Thanks to Meenakshi 09:20 Nikhil on Chennai React 13:03 Swathi (the keynote speaker) 15:40 Sanju on supporting developer communities 18:15 Bhavani’s advice 22:01 Shangeeth's Flashback 28:39 Shreya on sponsorship 31:47 Naveen on connections 34:18 Harine shares how DevFest inspired 38:13 Hareesh Rajendran (the creator) 40:27 Ram on community 45:46 Ishana on attending DevFest Different journeys. Shared curiosity. One community.

2. 

   4 Oct 2026

   Are We Still Thinking After AI? - ft. Udhayaprakasha

   AI is changing the way developers write code. But what if it's also changing the way developers think? In this episode, Dhanush sits down with Udhayaprakasha V, Module Lead at FULL Creative, for a conversation about the psychological side of AI-assisted development. We aren't talking about whether AI will replace developers. We're talking about something much closer to us: What happens inside a developer's mind when AI starts doing the work? When ChatGPT or Claude can solve a problem in seconds, do we still take the time to understand it? When AI gives us an answer, do we learn from it — or simply accept it? When everything becomes faster, do we actually become better developers? From cognitive offloading and over-reliance on AI to learning, problem-solving, confidence, curiosity, and the gradual loss of understanding, this conversation explores the relationship between developers and AI from a psychological perspective. We discuss: • Why developers reach for AI before thinking through a problem • The difference between AI-assisted learning and avoiding learning • How AI can change our problem-solving habits • Whether faster development actually means better engineering • Why experienced developers aren't automatically protected from AI dependency • How AI affects confidence and understanding • What happens when developers stop struggling with problems themselves • The psychology behind accepting AI-generated answers • Whether non-technical builders face a different version of the same problem • How developers can use AI while remaining aware of their own thinking The goal isn't to tell developers to stop using AI. It's to ask them to become more conscious of how they use it. Because the biggest risk may not be AI becoming better at thinking. It may be humans becoming less aware of when they're no longer thinking for themselves.

3. 

   28 Aug 2026

   The Rise of Software Agentic Engineering ft. Karthik Rameshkumar

   What happens when software engineers stop being the only ones writing the code? We’re moving from traditional software engineering to agentic engineering where AI coding agents can write code, make changes, run tests, review their work and increasingly take on bigger parts of the development process. In this episode of Idu Namma Techu, Dhanush sits down with Karthik Rameshkumar, Field CTO of Entire.io, to talk about what this shift actually means for developers and the way software teams work. Karthick has spent years building engineering teams and developer ecosystems in India, including at DigitalOcean, Twilio and GitHub. Now, with Entire.io, he’s working on a very different problem: how do we build software when AI agents become a fundamental part of the engineering team? We get into coding agents, ADLC, code reviews, developer workflows, context, Git, and why simply generating code isn't the hard part anymore. We also talk about what happens to the role of a developer when agents can do more of the implementation and what humans will need to focus on instead. And of course, we dive into Entire.io, why Karthick and the team are building it, how it connects AI agent sessions with Git and code changes, and what this could mean for the future of AI-native software development. Entire describes itself as a git-native developer platform for AI coding workflows, capturing agent sessions and their context alongside code. 🔗 Entire.io: entire.io (https://entire.io/?utm_source=chatgpt.com) 🔗 Entire on GitHub: github.com/entireio (https://github.com/entireio?utm_source=chatgpt.com) 🔗 Entire CLI: github.com/entireio/cli (https://github.com/entireio/cli/blob/main/README.md?utm_source=chatgpt.com) If you're a developer, engineering leader, founder, or just curious about where software development is heading, this conversation is about that transition from writing code ourselves to building systems where humans and AI agents work together.

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Spotify

4.7 / 5

30 ratings

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