Developer & AI tooling

What we do

We build the layer between your team and the tools they use. SDKs, client libraries, framework extensions, database providers, and the internal tooling that saves developers time.

Increasingly that includes AI. We show teams how to get the best from AI, and how to integrate AI features into their product via services like OpenRouter or MCP servers for stateful systems. We've even worked on AI feature evaluation harnesses to help compare real AI requests and responses with alternative models and prompts.

Damien has spent a career on this layer. Fluent API design on Code First for Entity Framework. Web APIs at Netflix and Xbox. Developer experience and SDKs at Auth0 and the official MongoDB provider for EF Core. The Tree-sitter C# parser behind GitHub's semantic code features is his too.

How we work

A great SDK feels native. A developer using it shouldn't have to think about where your code ends and the framework's begins. That means matching the idiomatic conventions of the ecosystem it lives in rather than importing our own.

AI tooling has to be measurable. A feature with no evaluation harness is a feature nobody can safely change, because there's no way to know whether the last adjustment helped, or whether a new model is an improvement.

Where a fix belongs upstream, we'll help you get it there rather than building you a fork to maintain forever. Everything ships with tests, documentation and a plan for who maintains it after we're gone.

Who it's for

Teams hitting the edge of an open-source library and weighing up a fork.

Companies shipping an API who need a client SDK developers won't complain about.

Teams with an AI feature that demos well and behaves unpredictably in production.

Platform teams who need internal tooling built by someone who has built it before so they stay focused on their business requirements.