Andrej Karpathy has a concise way to puncture AI hype: “When you get a demo and something works 90% of the time, that’s just the first nine.” For enterprise teams turning large language models into real products, that line is… Read More »From Demos to Dependable: Engineering the ‘March of Nines’ for Enterprise AI Agents
Scaling from a clever LLM demo to a reliable, long‑running AI agent in production is less about squeezing a few more percentage points out of the underlying model and more about how you “harness” that model. That’s the core argument… Read More »Why Better LLMs Aren’t Enough: LangChain’s Harrison Chase on Harness Engineering and Deep Agents
Introduction: Why Partition Choice Matters for PostgreSQL Partition Pruning When I first started using table partitioning in PostgreSQL, I assumed that just "having partitions" would automatically make queries faster. It didn't take long to learn the hard way that the… Read More »How to Choose Range vs Hash Partitioning in PostgreSQL for Better Pruning
AI is moving from experimental side project to everyday tool inside tech companies, including crypto firms. But the data emerging from job postings, usage metrics, and early academic work points to a more nuanced shift than a simple story of… Read More »How AI Is Reshaping Tech Careers: More Senior Roles, Fewer Entry-Level Paths
Bitcoin’s behavior around $70,000 in early March looked perplexing if you only watched it through a simple “risk assets down” lens. While oil markets absorbed one of their sharpest shocks in years and shipping risk in the Strait of Hormuz… Read More »Inside Bitcoin’s $70K ‘Options Magnet’: How $13B in Open Interest Is Steering Price Action