
Building AI-First Products in the Enterprise
How to move beyond simple wrapper applications and architect deeply integrated AI solutions that respect enterprise data governance and security requirements.
Insights & Engineering
We write about architecture, operations, and the realities of shipping enterprise technology in production.

How to move beyond simple wrapper applications and architect deeply integrated AI solutions that respect enterprise data governance and security requirements.

A practical guide to transitioning legacy monolithic applications to resilient, cloud-native microservices without disrupting ongoing business operations.

Exploring the philosophy that engineers should own their code from local development through to production deployment, monitoring, and maintenance.
Schema-per-tenant, row-level security, or separate databases? A decision framework for SaaS founders and product engineers thinking beyond the first hundred customers.
The infrastructure decisions that are cheap to make early and expensive to retrofit. A look at the pipeline patterns we apply from the first sprint.
Latency, cost, hallucination, and observability — the four problems nobody mentions in the GPT wrapper tutorial. How to build LLM features that survive real traffic.