📰 Dev.to · Theo Valmis

Operating systems were never about interfaces. They were coordination systems. AI is becoming a coordination layer of the same kind for intent, tools, and execu

The binding constraint of AI-assisted software development is no longer generation speed. It is governance at generation velocity. The AI-native SDLC is the res

The slice of project knowledge that has been promoted from documentation into machine-evaluable constraints that bind AI agent behavior at generation time.

The problem with AI coding agents isn't intelligence — it's memory. Every session starts cold. Mneme HQ is my answer to architectural drift in long-running AI-a

Retrieval-augmented generation is excellent for knowledge lookup. It is the wrong tool for enforcing architectural decisions. The distinction is deep, and most

AI coding tools use one word for four different systems. Memory. Context. Retrieval. Governance. The most expensive mistake an engineering team can make is buyi

As autonomous code generation matures, the bottleneck shifts from generation quality to governance consistency. Here is why review cannot solve it.

The SPACE Framework (Satisfaction, Performance, Activity, Communication, Efficiency) reveals what raw Copilot metrics miss and where the governance gap lives.

`--- title: "I shipped an AI-generated PR that violated four of our own architecture decisions....

The dirty secret of shipping with AI coding agents: every PR is locally optimal and globally...