Why Your Inference Costs Are Exploding (and How to Cut Them by 60%)
Enterprise LLM spend doubled in 6 months. Semantic caching, model routing, and quantization can cut costs by 60% without touching output quality.
What builders see that others don't
Why the best decisions don't look like solutions. A manifesto for those who want to build rather than fix.
The harness, not the model: what actually determines your AI agents' behavior
90% of an agent's behavior depends on what surrounds the model, not the model itself. The Factory Model and Harness Engineering redefine how to build reliable AI systems.
SDLC in the Agentic AI Era: How to Rethink Your Development Lifecycle End to End
From requirements to deployment, every SDLC phase is being redesigned by AI agents. Concrete cases, tools, pros/cons, and implementation patterns by phase.
RAG vs Fine-tuning in 2026: The Real Question Isn't Technical
51% of enterprises use RAG in production, only 9% rely on fine-tuning. The choice isn't technical — it's data ownership vs. speed to market.