Field Note
Loop Engineering Needs a Platform
Loop engineering pays off when a platform's contracts, tests, and policy checks decide whether an agent's loop is actually done.
Topic
Data Platforms
The machinery that turns data from exhaust into operating leverage.
Field Note
The Rise of the Agent-Native Developer Platform
For thirty years we built developer platforms for developers. The next ones are built for the agents developers delegate to.
Field Note
Internal Platforms need product managers, not priests
A platform team that rules by doctrine gets compliance. A platform team that runs like a product gets adoption. Only one of those is worth anything.
Field Note
The Platform Team as an Economic Function
A platform team is not a cost centre. It changes the marginal cost of safe change, and that is an economic argument, not a tooling one.
Field Note
How to evaluate platform engineering value
Platform engineering value comes from reducing organizational friction, lowering the marginal cost of safe change, and making delivery evidence visible.
Field Note
The Human in the loop is not a strategy
Human oversight in AI systems must be designed as a control capability, not treated as a reassuring box at the end of a workflow.
Field Note
When the consumer is a machine
Event contracts used to be guidance. With agents on the other end, they're the thing the system actually runs on.
Field Note
Batch vs Streaming is the Wrong Data Architecture Question
The real architectural decision isn't how fast you process data. It's what you choose to treat as a fact, and whether the machines around it can reason about those facts without asking permission.
Field Note
Why the modern Data Platform is becoming an Operating System
Modern data platforms are becoming operating systems for decisions, automation, governance, and the flow of organizational work.