Insights on AI-native software development, the AI Maturity Model, and building with AI coding agents.
Product Operations
AI Is Ending the Era of Product Slop
AI makes scattered product context more expensive, rewarding teams that turn decisions, designs, instrumentation, and handoffs into durable execution infrastructure.
Latest Posts
Self-healing Software is no Longer a Pipedream
The non-determinism of AI has moved the idea of self-healing software from concept to reality.
Rethinking Scrum Team Size in the Age of AI
AI-driven productivity gains are making traditional 5-9 person scrum teams obsolete. Here's why the most effective teams are shrinking to 1-2 engineers.
The 5 AI Adoption Archetypes in Engineering Teams
Every engineering org encounters the same 5 archetypes when adopting AI: the Skeptic, the Empowered, the Cowboy, the Blocker, and the AI-native. Here's how to lead each.
The Pull Request is Dead
The AI-native SDLC is turning software development into a CD/CI/CD pipeline. Quality isn't disappearing. It's shifting left from code review to requirements review.
Measure What Matters: Going Beyond AI-hype Metrics
AI has dramatically increased coding velocity, but traditional metrics don't caputure what's important.
AI Maturity Model (AIMM): A Roadmap for Business Transformation
Understanding the distinct layers of AI maturity to assess your position and chart a path forward
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