AI
Assistants, model APIs, and pair-programming tools we use to move faster.
A practical stack grouped by the way we use it: AI workflows, frontend builds, design, backends, data, commerce, infrastructure, messaging, communication, and testing.
We choose tools by fit, not fashion. Each group below maps to a part of the product lifecycle where that technology gives us leverage.
Assistants, model APIs, and pair-programming tools we use to move faster.
Interfaces, design systems, and responsive web apps that feel polished.
Interface design, brand assets, and the visuals behind every build.
APIs, business logic, and stable server-side foundations.
Storage, relational models, and operational data workflows.
Checkout, subscriptions, storefronts, and payment operations.
Delivery, containers, repositories, and reliable release workflows.
Transactional email, lifecycle messages, and client communication flows.
Team coordination, client updates, and async project communication.
End-to-end checks, browser automation, and release confidence.