Series

Some ideas are too big for one post. These are the series — multi-part arcs you can read in order. Each title links to its full collection.

The frameworks

The Eight Stages of AI Maturity

Improving's eight-stage model: the progression, the competency criteria at each stage, and what it looks like when AI starts building itself.

POST-AI

Reinterpreting the Agile Manifesto for the age of agents — the three eras, the P.O.S.T. framework, governance, and AI as foundation rather than feature.

The roles are changing

The Engineer's Evolution

How the software engineer's role changes stage by stage as teams climb the AI maturity curve.

The Product Team's Evolution

The same climb for non-engineering product roles — design, analysis, ownership, and management.

Building it for real

The AI Operations Stack

The operational layer beneath reliable AI systems: direct API integration, quality ratchets, recovery orchestration, and cost as a P&L.

Teaching Machines to Know

Knowledge systems for AI: principles-first knowledge graphs, coverage metrics, consequence-driven verification, and the layers between an AI and a wrong answer.

AI Delivery Slowdown

Why AI-assisted delivery stalls: missing requirements, the single-agent ceiling, the review bottleneck, and architecture drift at AI speed.

Borrowing From the Brain

Biological and cognitive patterns applied to multi-agent software delivery.