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I keep meeting young developers who are frustrated with AI coding tools. The output is inconsistent, the context is missing, and fixing the first draft takes longer than writing it themselves. The common diagnosis is that the model is bad. I don't think that's it. The real problem is the spec, and …

Decoding OpenClaw

What happens when a single developer, working alone over a weekend, ships something that leaves Microsoft, Google, and a dozen well-funded AI startups in the dust? That's the OpenClaw story, and it says a lot about where AI agents are actually headed. In this episode, we break down how OpenClaw wen…

RAG for agentic era

The prompting vs. RAG vs. fine-tuning debate is not over. It just moved to the wrong level. Most teams building with LLMs are still applying a 2023 framework to 2026 agent systems. The classic ladder model, start with prompting, add RAG for knowledge, fine-tune as a last resort, was built for singl…
AI Writes More Code. Why Are Engineering Teams Shipping Slower? Here's the paradox: AI can write code 5x faster than humans. Yet many engineering teams aren't shipping faster. Some are actually shipping slower. In this episode, I break down why code generation speed doesn't translate to shipping sp…
Vastuuvapautusilmoitus: Tälle sivulle upotettu podcast ja kuvitus ovat peräisin Swapnil Talekar:ltä, joka on sen omistajan omaisuutta, eikä se ole sidoksissa Listen Notes, Inc:n tukemaan.