Blog Archive
Author: Michael Meloche
Most AI conversations focus on models. The better conversation focuses on systems. In this episode, we continue our interview with Matt Levenhagen, exploring a practical challenge many developers are facing: integrating AI…
Private AI Systems: Why Smart Developers Build for Themselves First
The rise of Private AI Systems has created a rush of developers trying to bolt AI onto everything they touch. But the developers who are actually creating long-term value are approaching AI…
Simplifying Software Delivery Before AI Amplifies Your Chaos
The weekly challenge episode reinforced one of the strongest ideas from the Alex Polyakov conversation: AI will not fix broken engineering operations. If anything, it will amplify them. The discussion explored how…
Time Left Estimation: The Execution Model Modern Teams Need
Time left estimation may be one of the simplest ideas in software delivery, but it directly challenges decades of traditional Agile estimation practices. Instead of treating estimates as fixed promises, the concept…
Software Delivery Clarity: Why Visibility Beats More Process
Software delivery clarity has become one of the most important competitive advantages for engineering organizations. Teams are shipping faster, AI-assisted development is compressing implementation timelines, and traditional project management systems are struggling…
Rapid Experimentation Challenge: Build, Test, and Learn Faster with AI
The rapid experimentation challenge is simple in concept—but difficult in execution: stop overthinking, start building, and learn faster than your assumptions. In the bonus discussion with Thanos Diacakis, the biggest takeaway isn’t…