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Hands-on guides to AI infrastructure, MLOps, models, and shipping to production.

The Current State of Play AI agents have made significant strides in automating tasks, including those performed by credit controllers [1]. These intelligent…
Ring Promoter makes promotion a protocol: health-gated hops through int → test → acc → prod, auto-rollback, and full history — every release earns production.
Ring Promoter QA gates: auto-promote early rings, keep a human gate before prod, and treat health plus version checks as first-class quality gates.
Workstation on uncovering LLM agent bottlenecks with observability: OpenTelemetry, Prometheus/Grafana/Thanos, Langfuse — with clear pros/cons, cost levers, and usage metrics that protect margins.

Natural language generation is now a core dependency in software products, from help desk automation to dynamic content and code documentation. Shipping an NLG…

For engineers evaluating where and how to use large language models, the practical landscape is split between remote inference providers and local execution…
Workstation on turbocharging LLMs: PagedAttention paging for KV cache, vLLM serving, Self-Debugging for agents, PowerInfer token rates, and EG-MLA memory cuts — with production trade-offs.

Platform teams are under constant pressure to expose internal capabilities to partners without creating a new operational burden. The conversation around…