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Agile Software Engineering

Alessandro

This podcast explores how craftsmanship, architecture, engineering rigor, and organizational practices come together in modern R&D environments. Each edition refines and deepens my earlier reflections, building a coherent and evolving body of knowledge around Agile Software Engineering

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Episodis

55 episodis

  1. THE TECHNOLOGIES YOU SHOULD START LEARNING BEFORE YOU NEED THEM 29:52
  2. QUANTUM COMPUTING: THE ARTICLE I HAVE BEEN AVOIDING 26:27
  3. SMALLTALK: THE THIRD BOOK ON MY DESK 26:22
  4. MONOLITHIC IS NOT A BAD WORD, BUT WILD DECOMPOSITION OFTEN IS 26:09
  5. AI RISKS Q&A. Putting recent AI risk debates into perspective. 24:26
  6. WHEN A PROMPT IN A LOOP BECOMES AN AGENT. What the Hugging Face incident really tells us about AI risk 25:29
  7. THE POWER OF RECURSION 27:33
  8. PROLOG: THE OTHER BOOK ON MY DESK 15:11
  9. THINKING SLOW, THINKING FAST AND INTUITION IN SOFTWARE ENGINEERING 27:20
  10. First Principles in Software Engineering 22:52
  11. WHO WROTE THIS? Can AI Detectors Really Distinguish Human Writing from AI-Assisted and AI-Generated Text? 21:58
  12. Is There Any Science in Science Fiction? And What Can we use It For? 14:06
  13. How to hit the target every time. Iterative vs. Agile development. 25:17
  14. It’s Not What You Learn, But How You Learn - Even If You Are An AI 23:20
  15. The Art of Painting Yourself into a Secure Corner 23:35
  16. YACC? What Is That? Why Compiler Thinking Still Matters (Compiler Theory part 2) 23:45
  17. Before You Add Macros, Learn BNF (Compiler Theory part 1) 23:19
  18. Lisp: The Strange Little Language That Helped Invent AI 23:43
  19. A Field Trip into Software Engineering Memory Lane 26:58
  20. AI, Philosophy, and the Many Shapes of Thinking 24:13
  21. SAFe Light - Part 3: Beyond Story Points 23:52
  22. SAFe Light - Part 2: Evolutionary Architecture 25:15
  23. Self-Learning Machines - What Happens When AI Starts Learning from Itself? 20:42
  24. Please, Stop Saying Generative AI Is “Just” a Statistical Machine 24:22
  25. Ethics of Software Engineering 26:26
  26. What Really Defines High-Quality Software? 23:08
  27. SAFe Light - Balancing Agile and Enterprise 23:49
  28. AI and Predictive Project Management - From Reporting to Steering 23:38
  29. Why Do Agile Projects Still Fail? Are We Really Doing Better? 25:53
  30. AI Across the Agile Engineering Lifecycle 23:47
  31. Hiring Madness - When Hiring Became a Numbers Game 16:40
  32. Inspiration as a Way to Growth - How deliberate exposure to inspiring inputs helps engineers mature professionally 16:51
  33. Career Ladders for Software Professionals - and How to Make Salary Structures More Transparent 22:12
  34. Agentic AI: The World’s Most Expensive “If-This-Then-That” 23:41
  35. WHAT HAPPENED TO QUALITY, USABILITY AND DOGFOODING? - The Engineering Discipline of Quality and Trust 25:02
  36. The beauty of Mastering Algorithms 21:51
  37. The User Manual for the Young Engineering Manager - or: the worst mistakes I made in my career 16:01
  38. Why Security Is an Engineering Quality, Not a Checkbox 20:08
  39. The Art of the (Deal) 1 to 1 - Beyond the Status Update. Mastering the 1 to 1 Meeting 19:05
  40. Why SOLID Still Matters: Timeless Principles in a Modern Software World 22:02
  41. Hiring and Onboarding Talented Engineers Is a Leadership Responsibility 17:52
  42. Rethinking Legacy Software: A Strategic Leadership Challenge 17:43
  43. Why Hero Cultures Fail (and Professional Engineering Succeeds) 16:21
  44. Do we really put users first in Agile — or do we just ask them to debug our assumptions? 16:32
  45. Clean Code, Clean Planet – How Software Design and Coding Practices Shape Our Digital Carbon Footprint 13:32
  46. From Toyota to Agile: Using Lean Tools in Agile Engineering 17:48
  47. Surrounded by Talents: The Leader’s Role in Developing People 14:49
  48. The Secrets of Efficient Stand-Ups 17:37
  49. The Human AI Detector 13:29
  50. How to Tame the SAFe Tiger 18:04