Episode 64 : Why LLMs and Coding Copilots Are Failing to Deliver the Promised Value

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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Avsnitt(101)

Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

Agentic AI is becoming more capable, but the way we design it may be fundamentally inefficient.Today, the default assumption is simple: if AI can reason about a task, let it reason about that task eve...

29 Aug 7min

Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

The AI industry has become obsessed with tokens. How many tokens did we consume? Which model is cheaper? How much does a million tokens cost?But tokens measure what AI consumes. They don't measure wha...

22 Aug 13min

Episode 97: The AI Data Center Problem — What Does Intelligence Take?

Episode 97: The AI Data Center Problem — What Does Intelligence Take?

AI is becoming more intelligent, autonomous, and agentic — but that intelligence has a very physical footprint.In this episode of Agentic AI — the future of intelligent systems, Navveen Balani explore...

15 Aug 12min

Episode 96: Why the Token Economy Has an Expiration Date

Episode 96: Why the Token Economy Has an Expiration Date

Artificial Intelligence is changing—but so is its economic model.Today, organizations measure AI in tokens. Every prompt has a cost, every response is metered, and AI success is often judged by infere...

9 Aug 12min

Episode 95: Google Gemini Enterprise Agent Platform and Lean Agentic AI— Building Lean Agentic AI That Cuts Cost, Energy & Carbon

Episode 95: Google Gemini Enterprise Agent Platform and Lean Agentic AI— Building Lean Agentic AI That Cuts Cost, Energy & Carbon

Discover Google's latest Gemini Enterprise Agent Platform—and learn how to build AI agents that are efficient by design.In this episode, I explore Google's Gemini Enterprise Agent Platform, announced ...

28 Juli 25min

Episode 94: Agentic AI ROI — Why Most Organizations Aren't Seeing Business Value Yet

Episode 94: Agentic AI ROI — Why Most Organizations Aren't Seeing Business Value Yet

Organizations around the world are investing billions in Agentic AI. New foundation models are released almost every month, intelligent agents are becoming more capable, and the pace of innovation has...

19 Juli 8min

Episode 93: Physical AI — The Next Frontier for Agentic Systems

Episode 93: Physical AI — The Next Frontier for Agentic Systems

For decades, AI has lived behind screens—answering questions, generating content, and assisting human decision-making. But a new frontier is emerging.Physical AI is taking agentic intelligence beyond ...

28 Juni 7min

Episode 92: The Intelligence Dependency Problem — A Hidden Risk in Agentic AI

Episode 92: The Intelligence Dependency Problem — A Hidden Risk in Agentic AI

What happens when the intelligence your AI agents depend on suddenly changes?In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning,...

14 Juni 6min

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