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’ve Learned Hardening GraphQL Storefronts at Scale
Five recurring engineering patterns for improving GraphQL storefront reliability, from test-suite health and Kafka resilience to schema governance, observability, and ownership.
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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