Insights

IdeasWorthBuildingOn.

Perspectives on AI, engineering, cloud and product from the team building alongside our clients.

What It Actually Takes to Get AI Agents Into Production

Most AI agent pilots never ship. Here's the architecture and evaluation discipline that separates a demo from a system your team can trust.

The riskiest way to modernize a legacy platform is to rebuild it all at once. A strangler-pattern approach gets you there with far less risk.

Some infrastructure decisions are cheap to change later. Others aren't. A practical framework for telling the difference early.

Shipping fast and building the right thing aren't the same skill. Here's how product-minded engineering teams avoid the feature factory trap.

Retrieval-augmented generation looks simple in a demo and falls apart in production. The details that make the difference.

Technical debt is a business risk conversation, not an engineering complaint. A framework for making the case in terms leadership acts on.

Microservices solve organizational problems more often than technical ones. Knowing when a modular monolith is the better call.

The metrics that matter change once AI automation moves from experiment to embedded workflow. Here's what to track instead.

Most design systems die in a Figma file. The handoff and governance model that keeps design and engineering in sync.

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