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Stop Humanizing AI, Why Teams Aren't Really Empowered, and Strategic Portfolio Management Myths
NN/g argues humanizing AI is a trap that reduces utility, while most 'empowered' product teams are actually feature factories fighting coordination wars.
14.01.2026
AI Skeptics, Generalists, and the Precision-Accuracy Paradox in Software Teams
Exploring why critical thinking beats blind faith in AI adoption, the difference between building things right and building the right things, and what truly makes a generalist valuable.
13.01.2026
From AI Panic to AI Culture: Building Organizational Confidence in 2026
The gap between AI-confident and AI-anxious teams is showing up in promotions, headcount, and results. Here's how to build a pragmatic adoption culture.
11.01.2026
AI Adoption in Engineering Teams: Research Insights from 400+ Teams
Deep dive into how engineering teams are actually adopting AI tools, revealing the gap between personal and team adoption.
05.12.2025
The State of AI Adoption in Engineering Teams
An analysis of AI adoption in engineering teams, covering personal vs. team use, documentation as a secret weapon, managing AI context in codebases, and the evolving UX of AI coding tools.
05.12.2025
Building Product Development Teams with Rob Zuber from CircleCI
CircleCI CTO Rob Zuber discusses building effective product engineering teams, the standardization vs flexibility tradeoff, and lessons learned from scaling software organizations.
28.11.2025
The AI Productivity Paradox: When Feeling Productive Doesn't Mean Being Productive
DORA research reveals that 90% of engineers use AI tools, but self-reported productivity gains may be illusory—a productivity placebo effect that masks real bottlenecks and quality traps.
26.11.2025
From Knowledge to Wisdom: Rethinking Developer Training and Learning Impact
A deep dive into why traditional developer training fails and how live team coaching can transform software engineering skills development.
07.11.2024