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1000+ episodes published • Interviews, series, and solo deep dives

📅 May 15, 2026

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 implementation time is shrinking rapidly while coordination, validation,…

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📅 May 14, 2026

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 focuses on continuously updated delivery confidence. During the…

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📅 May 12, 2026

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 to keep pace with modern software delivery realities.…

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📅 May 8, 2026

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 about tools or even AI itself. It’s about…

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📅 May 7, 2026

Iterative Development Systems: How High-Performing Teams Build Faster with Less Risk

Iterative development systems are no longer optional—they are the backbone of modern software teams that need to move quickly without breaking everything. In the second half of the conversation, Thanos Diacakis moves beyond communication problems and into something deeper: the…

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📅 May 5, 2026

Software Communication Gaps: The Hidden Foundation Problem Slowing Your Team

Software communication gaps are the invisible force behind most failed or delayed software projects—and they often start long before a single line of code is written. In the conversation with Thanos Diacakis, one thing becomes immediately clear: teams don’t struggle…

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