Deep technical articles, product updates, and infrastructure thinking from the Frigga engineering team. Written by engineers who manage real production systems.
The most dangerous infrastructure mistake isn't always a made-up resource. It is a confident answer built from half the truth. Ask an AI whether a service is exposed to the internet. It inspects the…
Your production service has one name in AWS, another in Prometheus, another in Jenkins, and a fourth in GitHub. During an incident, someone has to prove they're all the same thing. That join usually…
Claude can reason about a production incident. The problem is that production cannot answer back. The evidence is scattered across cloud resources, metrics, logs, traces, deployments, and source…
A repository is no longer where an AI coding tool's context has to end. Modern software rarely maps cleanly to one repo. A frontend may depend on backend services, shared libraries, workers,…
A frontend calls an API. That API invokes another service. A queue triggers a worker somewhere else. One change can cross four repositories before the feature is complete. The problem isn't getting…
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Give an AI more code, and eventually the context itself becomes the problem. Across 10,000 files and millions of functions, there will always be something that looks relevant - another similarly…
