Edge AI: When Inference Moves to the Device
Running models on the device wins on latency, privacy and offline capability. It loses on capability and updates. Here is…
Data Engineering for AI: The Pipeline Work Nobody Budgets
AI projects stall on data plumbing far more often than on model quality. Here is the unglamorous work that decides…
Vision-Language-Action Models Explained
VLA models are why robotics moved this year. Here is what they actually do, how they differ from the models…
Migrating to the Stateless MCP Spec: A Practical Plan
The 2026-07-28 spec broke things on purpose. Here is a migration plan that gets you onto the stateless core without…
MCP Apps and Extensions: What the New Framework Actually Enables
MCP now has a formal extensions framework, with MCP Apps, Enterprise-Managed Authorization and Tasks as the first members. Here is…
Observability for LLM Apps: Tracing, Cost and Quality Metrics
OpenTelemetry GenAI semantic conventions turned LLM observability from a vendor lock-in problem into a standard. Here is what to instrument…