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Rethink Your Understanding

Rethink Your Understanding

Written by: Phil Clark
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Rethink Your Understanding: AI-Driven Insights on Digital Transformation & Software Delivery

Welcome to Rethink Your Understanding, an AI-powered podcast where cutting-edge technology meets expert insights on digital transformation. We use AI to bring my articles and blog posts from rethinkyourunderstanding.com and Medium (https://medium.com/@rethinkyourunderstanding) to life, transforming written content into immersive audio episodes.

Each AI-presented episode provides a "Deep Dive" into strategies, lessons, and the impact of leadership in Agile, Lean, DevOps, Value Stream Management, and Flow Engineering. Occasionally, we explore software engineering. We present a fresh approach to my articles, delivering key concepts, practical advice, and insights from years in tech leadership.

Join us on Rethink Your Understanding—where AI amplifies expert voices to deliver the insights you need to lead your organization’s digital journey.

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Rethink Your Understanding 2025
Episodes
  • Agile Isn’t Dead and AI Isn’t Killing It Either
    Jan 26 2026

    I keep seeing “Agile is dead” headlines, now repackaged for the AI era. My take: AI isn’t killing Agile. AI is illuminating constraints that were already in the value stream.

    AI can do market research, write documentation, write code fast - it can’t take accountability. As AI compresses execution time, rebundles responsibilities, and enables smaller teams with faster release cycles, the real work shifts to human judgment: decision-making, validation, security, governance, and operating safely in production.

    This episode reframes Agile and agility as an enduring capability, and explores what must evolve when software delivery accelerates dramatically with AI.

    Link to the article: Agile Isn’t Dead and AI Isn’t Killing It Either, originally published January 24, 2026.

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    19 mins
  • AI Fluent, Fundamentally Lost
    Dec 26 2025

    AI is now table stakes in software engineering hiring, but it is also warping the signals we used to trust.

    In this episode, the AI hosts cover my article about a growing pattern I call “AI-fluent, fundamentally lost”: candidates who can produce impressive output with prompts, yet struggle to explain the logic, constraints, and architectural trade-offs behind what they ship.

    The result is a new kind of risk: “glass cannons” that look productive fast, but can drive long-term maintenance cost and technical debt when fundamentals and judgment are missing.

    They cover the arguments for a more durable hiring approach that evaluates both system-level reasoning and AI-assisted execution, treating AI as a productivity accelerator, not a replacement for critical thinking.

    Link to the article: AI Fluent, Fundamentally Lost, originally published December 07, 2025.

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    15 mins
  • When AI Isn't Enough
    Dec 22 2025

    In this episode, we unpack a new challenge in software hiring: AI is boosting productivity while also creating an illusion of mastery.

    Candidates can generate impressive AI-assisted code, yet struggle when the conversation moves to fundamentals like composition vs. inheritance, tradeoffs, and architectural decision-making. The result is a distortion of traditional hiring signals, where output can mask gaps in understanding.

    The AI hosts dig into why fundamentals still matter most in enterprise systems, where reliability, durability, and accountability matter more than raw speed. Great engineers don’t just produce code, they can debug it, validate it, and challenge AI-generated work with sound judgment.

    We close with what hiring practices must evolve to measure next: architectural reasoning and system-level decision-making, the areas where AI can assist, but not substitute.

    Link to the article: When AI Isn’t Enough, originally published November 29, 2025.

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    15 mins
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