Episode 64 : Why LLMs and Coding Copilots Are Failing to Deliver the Promised Value
In this episode, we step back from the hype and take an honest look at why LLMs and coding copilots haven’t lived up to the claims of productivity revolutions and autonomous engineering.From hallucinated logic and brittle architecture to context loss and duplicated code, we unpack real-world failures surfaced in AI-generated production code — and explain why today’s tools still lack the judgment, systems thinking, and trade-off awareness that real software engineering demands.We also explore the marketing narratives shaping expectations, and why benchmarks and demos obscure the true cost of using these tools at scale.This episode is not a rejection of AI — it’s a reframing. Because while these tools can accelerate parts of development, they are not engineers. They are assistants. And treating them as such is where their real value begins.
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Episode 63: Invest in AI Engineering, Not AI Tools
Following our last episode on the Agent Economy, this conversation goes deeper into what truly drives success in AI — not tools, but engineering.Agentic AI isn’t a plug-and-play revolution. It’s built through architecture, measurement, resilience, ethics, and sustainability. Tools can spark experimentation, but engineering makes innovation last.Organizations don’t need to replace people; they need to augment engineering talent — strengthening the foundations of reliability, responsibility, and trust.Because the next AI revolution won’t be bought through tools.It will be engineered through people.
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Episode 62 : Agent Economy
In this episode, we explore the rise of the Agent Economy — a world where autonomous AI systems transact, collaborate, and negotiate directly with each other. From supply chains to finance, the possibilities are enormous.We also spotlight Google’s new Agents-to-Payments (AP2) Protocol, an early example of how agents can move beyond recommendations to secure, verifiable transactions.The future of AI is not just about building smarter agents. It is about designing the frameworks, trust systems, and standards that will enable an entire economy of intelligent actors.
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Episode 61: Agentic AI is 90% Engineering
Agentic AI demos often look like magic — agents planning, reasoning, and solving tasks on the fly. But beneath the surface, the reality is clear: building agentic systems is ninety percent engineering.In this episode, we unpack what that really means. From planning and memory to tool use, orchestration, and monitoring, the hardest challenges are not in the model itself, but in the systems built around it. Just as cloud adoption matured through disciplines like DevOps and FinOps, Agentic AI will demand its own engineering maturity.I believe a surge is coming — where the real differentiator will not be who uses the biggest model, but who engineers the most reliable, efficient, and sustainable systems.The magic of Agentic AI lies not in the demo, but in the discipline of the build.
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Episode 60: Mobile Agentic AI Agents — Intelligence in Your Pocket
In this episode, we shift the lens from the cloud to the palm of your hand. Mobile Agentic AI Agents, in my view, represent the next big leap — not abstract copilots in distant data centers, but intelligent collaborators that live on your phone.With sensors, context, and constant connectivity, mobile devices are uniquely positioned to host AI agents that reason, plan, and act. Imagine an agent that organizes your day based on carbon-aware scheduling, manages your health insights on-device, or translates conversations in real time while protecting your privacy.But this revolution comes with challenges. Leaner models, efficient memory, and secure design will be critical. And because adoption will spread fastest through smartphones, the impact will be social as much as technical — shaping lives across communities, cultures, and continents.The question is not whether mobile AI agents will arrive, but how quickly we design them to be smarter, greener, and more responsible.
About Agentic AI: The Future of Intelligent Systems
Dive into the fascinating world of Agentic AI—a podcast series exploring the cutting-edge evolution of intelligent systems. From plug-and-play AI marketplaces to transformative applications in smart cities, education, and creative domains, this series unpacks how Agentic AI reshapes industries, enables collaboration, and drives innovation. With a focus on ethical considerations, sustainability, and real-world applications, we navigate the opportunities and challenges of these autonomous agents. Whether you’re an AI enthusiast, a business leader, or simply curious about the future, join us.
Listen to Agentic AI: The Future of Intelligent Systems, Waveform: The MKBHD Podcast and many other podcasts from around the world with the radio.net app
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