Insights on full-stack development, serverless architecture, and business impact.
26 results
A technical explanation of how vector databases store embeddings, search them with ANN, and match results back to original documents.
If MCP standardized tool connectivity, permissions, policy, audit, and isolation are what make production AI agents safe.
MCP, multi-agent workflows, and tool integrations are hot right now, but production systems live or die by context, state, and control planes — not the protocol alone.
Google Workspace's agentic expansion and NVIDIA's BlueField-4 STX point to the same shift: AI is becoming an operations-architecture problem. This post reframes AI workloads through a control-plane lens.
Model quality matters, but execution structure matters more. This post lays out a practical framework for designing agentic workflows around decomposition, routing, state, and observability.
Agent systems usually fail in orchestration before they fail in model quality. This post breaks down workflow design, tool permissions, fallback, and evaluation as architecture problems.