Insights on AI-native software development, the AI Maturity Model, and building with AI coding agents.
AI
Sentrix AI Productivity Metrics: 2026 Q1
Tracking engineering productivity at Sentrix through 2026 Q1, measuring PRs per engineer against industry benchmarks to calculate ROI on AI investments.
Latest Posts
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
A Founder's Journey to AI-Native Software Development
From 20% productivity gains to 10x velocity: the hard lessons I learned transforming our engineering team from AI-assisted to AI-native development.
2026 Predictions for AI
AI agents represent a new system actor demanding a shift in system architecture to accommodate their unique operational characteristics.
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