Insights from the engineering floor.
Writing from our practice leads on what's actually shipping in commerce, AI, cloud, and security — not what's trending in vendor decks.
Building a production MCP server: a working implementation guide
A complete walkthrough of shipping a Model Context Protocol server into an enterprise environment — tool design, authentication, least-privilege scoping, idempotency, error surfaces, and the tests that keep it safe.
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One thoughtful read a month on what's shipping in commerce, AI, cloud, and security — from the engineers building it.
An evaluation harness for Claude in regulated environments
How to build the offline evaluation suite that lets a bank, insurer or health system change prompts and models weekly without waiting on a manual review — golden datasets, rubric grading, drift monitoring, and what to show a model risk committee.
What an enterprise agentic AI pilot actually costs
An honest, line-by-line breakdown of a 30-day agentic AI pilot in a large organization — engineering effort, model spend, security and compliance time, the internal costs nobody budgets for, and what production adds on top.
What we learned hardening a GraphQL storefront for a large ecommerce retailer
Five hard-earned lessons on test-suite hygiene, Kafka consumer resiliency under outage conditions, and why most marketplace integrations fail at the offer-display boundary.
The retail merchandising stack is being rewritten by LLMs — quietly
How AI-driven assortment, search, and pricing are quietly displacing decade-old rules engines. Where the durable moats are forming — and where retailers are spending real money on what will turn out to be table stakes.
The 18-month FinOps maturity curve, mapped against real spend data
A pragmatic framework for understanding where your organization sits on the cloud financial management curve. The phase transitions where most organizations stall — and the leading indicators that signal you're ready to move on.
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