In this episode, we explore the journey from vibe coding to building real, production-grade infrastructure with AI agents. While AI makes it possible to go from idea to working code faster than ever, speed can be deceptive. Prototypes are easy. Demos are forgiving. Infrastructure is not.

We discuss what happens when AI-assisted development moves beyond toy apps and mockups into systems that must run continuously, scale over time, and survive failure. From Kubernetes clusters and private clouds to technical debt, system design, and judgment, this episode unpacks where AI agents shine, where they fall short, and why engineering fundamentals still matter.

This is not a story about AI replacing engineers. It is about how builders, product leaders, and system thinkers can use AI as leverage, without losing sight of constraints, tradeoffs, and reality.

Tune in to understand why getting from zero to one is easy, why one to scale is hard, and what it really takes to build durable systems in the AI era.

This podcast is generated by Google NotebookLM and is a podcast version of articles written on ⁠⁠vinaysachdeva.com⁠⁠.

For more details, visit ⁠⁠vinaysachdeva.com⁠⁠ or reach out to me on LinkedIn: ⁠⁠linkedin.com/in/vinaysachdeva⁠⁠.

In this episode, we dive into why most teams fail, not because their solutions are weak, but because they never truly understood the problem in the first place. While everyone agrees that defining the problem is the first step to solving it, in practice, assumptions often replace clarity, and speed often replaces alignment. We discuss why rushing to solutions without context leads to missteps, and how simple practices — like restating the problem, asking the right questions, and challenging assumptions — can completely change outcomes.

Tune in to uncover why problem clarity is the real competitive edge in building lasting solutions.

This podcast is generated by Google NotebookLM and is a podcast version of articles written on ⁠vinaysachdeva.com⁠.

For more details, visit ⁠vinaysachdeva.com⁠ or reach out to me on LinkedIn: ⁠linkedin.com/in/vinaysachdeva⁠.

In this episode, we explore why the true competitive edge in enterprise AI isn’t just about intelligence—it’s about context. While large language models and AI systems are becoming more powerful, their effectiveness in business settings depends on how well they understand the specific workflows, data, and nuances of an organization. We discuss why companies that master contextual AI will outpace those relying solely on raw intelligence. Tune in to uncover how enterprises can harness AI effectively and stay ahead in this evolving landscape.

This podcast is generated by Google NotebookLM and is a podcast version of articles written on vinaysachdeva.com.

For more details, visit vinaysachdeva.com or reach out to me on LinkedIn: linkedin.com/in/vinaysachdeva.