Videos

Running AI agents in production requires a clear separation between the non-deterministic planning done by an LLM...

OpenAI's inference load balancer evolved from a feedback-loop-based P controller to a control plane/data plane...

Mike Chambers argues that production agents need a 'harness'—the scaffolding around the model that handles memory,...

The core tension in LLM gateways is that availability, latency, guardrails, and cost cannot all be maximized during...

Most production agent failures are not model failures but harness failures—the system that owns state, orders...

Vercel's new open-source framework Eve introduces a file-system-first approach to building production-grade AI...

Phaidra engineers solved the problem of LLMs failing to handle 500,000 sensor names in large data centers by using a...

Personal AI agents built on markdown-driven second brains (like the Karpathy LLM Wiki) are powerful for individual...

Shipping an AI agent is only the beginning; the real work starts post-launch with monitoring, understanding, and...