Agile Thoughts

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Plain talk about AI, tech careers and building software.

The gist

Agile Thoughts is a software-development podcast that gives one guest a run of linked episodes, and its AI conversations stay close to paychecks, job boards and code. The Will Iverson series covers salaries, bot-clogged hiring and a deflationary economy, while the Bryan Finster series probes where AI help holds up and where it breaks.

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About Agile Thoughts

Agile Thoughts is a software-development podcast with a sizable catalog, and its habit of giving one guest a whole series shapes how it sounds. Installments begin with the guest introduction, and each one is framed as a continuation of the series. The longest run here belongs to Will Iverson, who starts each episode by pointing to ChangeNode, a site that helps people in the tech industry think about jobs and careers. The subject is tech work in the face of AI, and the talk stays specific. One stretch looks at tech salaries bunching into three distinct clumps. Another takes on LinkedIn, where postings draw hundreds of applicants within hours and both sides seem overrun by bots and fake listings. Niche boards, such as ones built for Svelte developers, come up as the better bet. The conversation also stops to pin down a practical risk: individual licenses for AI tools may let the vendor reuse a user's data, while enterprise terms can differ. That matters to any employer guarding its source code. The frame widens as well. Today's push to put AI into everything gets compared to the earlier rush to move business processes onto websites, which is why almost nobody books through a travel agent anymore. Other threads include AI assembling software on demand instead of shipping it prebuilt, with browser-based video editors like CapCut as an example, and the odd position of losing a job to AI while relying on a cheap ChatGPT subscription. Corporate jobs that serve no real function come up, along with people moving back in with their parents and robots taking over farm picking. The outlook splits in two. Five to fifteen years out, the series pictures cheap renewables and better healthcare. The years before that, with a deflationary economy and people struggling to put food on the table, sound rough. Titles such as '311 IT jobs, AI, and the Dystopian Gap' and '314 Deflation Economy and Unemployment—Why although unemployment is low you still don’t have a job' cover the same territory. The Bryan Finster series has a different feel. Finster describes three decades as a software developer, mostly in enterprise supply chain software and later in platform work, and a personal mission to take the waste and pain out of software delivery from end to end. The conversation stays close to the keyboard. It covers finding where AI tools work and where they fail, and asking whether a miss is the user's fault or the tool's. Someone also admits that CSS is frightening and confusing enough to hand off to a computer. It warns against taking dismissals seriously from people who have only played with the tools or read weak technical reporting. The closing moments point to the show notes and play a clip of what comes next, and searching the show's name with a guest's name is suggested as a way to find a full series page. The tone throughout is conversational and candid, with dry humor and the occasional salty word.

Made for: Suits a listener who works in or around software and wants a frank, conversational take on how AI is changing hiring, pay and day-to-day development, followed across several linked episodes instead of a single interview.

What sets it apart: It gives one guest a run of linked episodes, so a theme like AI and jobs gets followed through licensing fine print, salary data, job boards and the wider economy instead of being squeezed into one sitting.

In their own words

In the time it takes to receive a Starbucks coffee, Lancer Kind covers how to consistently release software with zero defects, and how to guide teams and organizations through changes necessary to do Continuous Delivery. The Mandarin edition is at (中文版):http://agilenoir.biz/feed/podcast/敏捷理念

Why you'd press play

AI coding optimism meets a $250 job application scam; Lancer Kind lets you sit with both.

Press play if you want

  • to weigh coding productivity against the risk of pasting company code into a personal AI tool
  • to understand why low unemployment can still feel like a grim job hunt
Read the full recommendation in PlayNext →
AI and the future of tech jobstech salaries and hiring marketsjob boards, applicant floods and bot spamAI tools in hands-on software workdata terms on AI tool licensesautomation, deflation and unemploymentAI and social contracts

Talks about

Best episodes of Agile Thoughts

Short reviews from the PlayNext desk, based on the episodes we processed.

314 Deflation Economy and Unemployment—Why although unemployment is low you still don’t have a jobDec 5, 2025

A practical tech-jobs episode on deflation anxiety, crowded listings, and scam risks in the modern search.

Agile Thoughts continues its run with Will Iverson on tech jobs and IT in an AI-shaped labor market, moving from broad economic worry into the more immediate pressure of finding work.

313 How AI is Disrupting Social ContractsNov 28, 2025

AI's promise runs into jobs, college debt, and the question of who gets to manage abundance.

The episode frames AI's move into work and ordinary systems as more than a technology story. It treats the current push to put AI everywhere as part of a longer pattern, from flight booking shifting online to software gathering more features and interfaces changing around the…

312 AI as a Capital MarketNov 17, 2025

A grounded look at how AI investment is reshaping tech pay, software work, and career choices.

AI's effect on tech jobs comes into focus through the money chasing it. The episode tracks a salary split that runs from a broad middle tier into far higher clusters, with the richest work tied closely to building leading AI models.

311 IT jobs, AI, and the Dystopian GapOct 28, 2025

Will Iverson links AI-enabled big projects with buggy software, hollow corporate work, and economic risk for tech jobs.

This Agile Thoughts episode places Will Iverson in the uneasy space between AI's promise and the work it could weaken. The conversation begins with a practical hypothesis: capable LLMs might make large, long-deferred projects feel possible again, including work on COBOL apps…

Podcasts like Agile Thoughts

Episodes

  1. 1

    284 What is Amplio and how to Improve

    ·18m
  2. 2

    264 Fixing Badly Designed Code helps hit Deadlines

    ·14m
  3. 3

    263 Software Design X-Rays and Hotspots

    ·14m
  4. 4

    262 Software Quality: At times it’s more Important to Delete code than it is to Add

    ·13m
  5. 5

    261 Adam Tornhill reveals how good Code Quality is a Massive Competitive Advantage

    ·13m
  6. 6

    260 Agile Architecture

    ·14m
  7. 7

    315 AI WILL take our Jobs! with Bryan Finster

    ·16m
  8. 8

    314 Deflation Economy and Unemployment—Why although unemployment is low you still don’t have a job

    ·26m
  9. 9

    313 How AI is Disrupting Social Contracts

    ·27m
  10. 10

    312 AI as a Capital Market

    ·19m
  11. 11

    311 IT jobs, AI, and the Dystopian Gap

    ·28m
  12. 12

    310 Paradigm shifts in software development via AI: better software? More of it? Modernization?

    ·19m
  13. 13

    309 Are Software Development jobs GONE FOR GOOD—or just Evolving?

    ·15m
  14. 14

    308 How to get started with Unleash Feature Flags

    ·10m
  15. 15

    307 Indications in product development that suggest you need feature flags

    ·13m
  16. 16

    306 How Feature Flags are a form of Technical Debt

    ·13m
  17. 17

    305 Feature flags—Fine grain control of Features gives Ops, Business, and Customers new capabilities

    ·11m
  18. 18

    304 Unleash, the world’s most popular feature toggle

    ·15m
  19. 19

    303 Attracting Software Development Interviews

    ·10m
  20. 20

    302 Developer resumes are DEAD says Mike Mroczka

    ·10m
  21. 21

    301 Cheating on Coding Interviews

    ·15m
  22. 22

    300 Cracking coding interviews with Mike Mroczka

    ·13m
  23. 23

    299 Why that tough job may be good for you

    ·13m
  24. 24

    298 Senior Software Developer talks about Job Pivots

    ·9m
  25. 25

    297 Happy Job Searchers using GoldBridge.AI

    ·9m
  26. 26

    296 Job Search help from GoldBridge AI

    ·11m
  27. 27

    295 Book Publishing, Art and Business

    ·5m
  28. 28

    293 Mixins with Agile Frameworks

    ·11m
  29. 29

    292 Engaging Audiences by ditching PowerPoint

    ·12m
  30. 30

    291 On Safari for Impediments with Tom Perry

    ·7m
  31. 31

    290 Tom Perry’s discovery in types of Impediments

    ·12m
  32. 32

    289 Tom Perry talks dirty about Impediments

    ·12m
  33. 33

    288 Systems Thinking—Revealing Dysfunctions

    ·10m
  34. 34

    287 Systems Thinking—Revealing Secrets

    ·14m
  35. 35

    286 Systems Thinking—Power through knowing Intent

    ·14m
  36. 36

    285 Systems Thinking—POSIWID and Types of Intent

    ·20m
  37. 37

    265 CodeScene connects Bad Code to People Problems

    ·14m
  38. 38

    283 Al Shalloway, from 10X Developer to Agile Consultant

    ·16m
  39. 39

    282 Al Shalloway on Missing Principle Thinking of Agile

    ·15m
  40. 40

    281 Al Shalloway and why he didn’t Sign the Agile Manifesto

    ·15m
  41. 41

    280 Agile Enterprise Architecture—Templates and Examples of Usage Patterns

    ·5m
  42. 42

    279 Agile Enterprise Architecture and Enterprise AI/ML

    ·8m
  43. 43

    278 Agile Enterprise Architects—Working out Needs and Dependencies with Agile Teams

    ·8m
  44. 44

    277 Agile Enterprise Architects—Usage Patterns

    ·11m
  45. 45

    276 Agile Enterprise Architects—Do Nonfunctional Requirements Exist?

    ·13m
  46. 46

    275 Understand AI so you can Differentiate yourself

    ·18m
  47. 47

    274 Knowledge Workers and AI, Friend or Foe?

    ·11m
  48. 48

    273 Max Good locates coaching at the Work Surface and at Scale

    ·20m
  49. 49

    272 Max Good, an AI Agile Coach

    ·17m
  50. 50

    271 Agile in the C-Suite—The AI Disruption

    ·11m
  51. 51

    270 Agile in the C-Suite—How to recognize if you’re leading in an Agile way

    ·16m
  52. 52

    269 Agile in the C-Suite—Setting Sensible Guardrails for Proactive Teams

    ·13m
  53. 53

    268 Agile in the C-Suite—Discipline is a key ingredient in Agile

    ·16m
  54. 54

    267 Agile in the C-Suite—A Model of Agile Leadership from a CXO

    ·10m
  55. 55

    266 Being Agile as a CXO—Arvind Rathore

    ·10m
  56. 56

    259 Revealing the Mysteries of the Enterprise Architect

    ·11m
  57. 57

    258 Architect practices: Hand crafted Class Diagrams are OUT, better to Diagram the Flow

  58. 58

    257 Being a Software Architect, with Gregg Ubben

    ·12m
  59. 59

    255 Tips from a Lunar Explorer on how you can be an Explorer too

    ·6m
  60. 60

    254 How Discovering Moon Debris made a Software Engineer Famous

    ·8m
  61. 61

    252 DevOps Engineer by Day, Real Life Discoverer of Lost Lunar Lander by Night—Shanmuga

    ·10m
  62. 62

    251 Assessing a Waterfall Organization for benefits to becoming Agile

    ·57m
  63. 63

    250 Component Testing and other features unique to testing Web Apps with Cypress

    ·15m
  64. 64

    249 Cypress—How Developers can get started fixing their Testing Pyramid

    ·14m
  65. 65

    248 Cypress—Unique Qualities Attracting Millions of Users to WebApp Testing

    ·13m
  66. 66

    247 Cypress—Leverage the Power of your Browser to Test your Apps

    ·9m
  67. 67

    246 Sushil Bhattachan Marries AI with Agile Consulting

    ·12m
  68. 68

    245 How POPal reduces the Labor of the PO

    ·11m
  69. 69

    244 POPal—Clean Formatting and Generate Stories from Features

    ·8m
  70. 70

    243 POPal—Using Generative AI to assist the Product Owner

    ·8m
  71. 71

    242 Agile Framework Fight Night Bout 4—The Audience Rushes the Ring

    ·16m
  72. 72

    242 Agile Framework Fight Night Bout 4—The Audience Rushes the Ring

    ·16m
  73. 73

    241 How localized are the funding decisions in your framework?—Agile Framework Fight Night Bout 4 battles over this question

    ·12m
  74. 74

    240 How will your framework improve the engineering capabilities of my teams?—Agile Framework Fight Night Bout 4 battles over this question

    ·20m
  75. 75

    239 Why should I lock into your Agile framework instead of working out my own?—Agile Framework Fight Night Bout 4 battles over this question

    ·19m
  76. 76

    238 Agile Framework Fight Night Bout 4—How does your framework reduce or remove dependencies?

    ·25m
  77. 77

    237 SOFTWARE PROFIT STREAMS, the Book

    ·8m
  78. 78

    236 Scrum with Profit Streams takes Delivery beyond Efficiency

    ·15m
  79. 79

    235 How Luke Hohmann’s Innovation Games was a study in Profit Streams

    ·12m
  80. 80

    234 Joel Bancroft-Connors tells about Scrum and Profit Streams

    ·13m
  81. 81

    233 Clean as you Code with SonarQube

    ·14m
  82. 82

    232 SonarQube Helps Development Teams Clean their Code

    ·13m
  83. 83

    231 Why 7 million developers have their code analyzed by SonarQube

    ·12m
  84. 84

    230 Agile Framework Fight Night Bout 3—Are Agile Frameworks missing the mark in handling Dependencies and Architecture?

    ·16m
  85. 85

    229 Agile Framework Fight Night Bout 3—In your Framework, how do Teams Work Together?

    ·21m
  86. 86

    228 Agile Framework Fight Night Bout 3, BATTLE ROYAL—Do you have any Metrics or data WHY your Framework is Effective?

    ·22m
  87. 87

    227 Agile Framework Fight Night Bout 3, battles over—How does your Framework allow Experimentation?

    ·18m
  88. 88

    226 Bout 3 of Agile Framework Fight Night Battles over—How does your framework ensure alignment with business priorities?

    ·24m
  89. 89

    225 Boot Camp versus Bachelors in Computer Science Controversy

    ·12m
  90. 90

    224 Canton Coders doesn’t Think that You must go into Debt to get a Software Development Job

    ·13m
  91. 91

    223 Doc Norton talks about Variable Velocity and more from his book ESCAPE VELOCITY

    ·8m
  92. 92

    222 Velocity Antipatterns in Doc Norton’s ESCAPE VELOCITY

    ·11m
  93. 93

    221 Ditch Velocity and Estimation based Metrics, says Doc Norton in ESCAPE VELOCITY

    ·8m
  94. 94

    220 Doc Norton’s book on metrics–ESCAPE VELOCITY

    ·11m
  95. 95

    219 SPIDER-MAN: Miles Morales—Working with the World’s Best is an International Endeavor

    ·8m
  96. 96

    218 Is Developing Games for PlayStation Fun?

    ·10m
  97. 97

    217 Agile at Scale at Sony Playstation

    ·14m
  98. 98

    216 Software Development at Sony PlayStation

    ·14m
  99. 99

    256 LeSS Case Study of a Large Server Hardware Company, presented by James Carpenter a Certified LeSS Friendly Practitioner (LONG episode)

    An Agile coach discusses large-scale Scrum transformations and continuous delivery practices in a meetup presentation.

    ·1h 13m
  100. 100

    294 Performance Mangament & Agile

    Tom Perry and Lance Kahn discuss the challenges of implementing performance management in Agile teams, critiquing conventional approaches like 360 reviews and team-based bonuses.

    ·20m
  101. 101

    315 AI WILL take our Jobs! with Bryan Finster

    Brian Finster says AI can add features, refactor code, and debug defects, but usefulness depends on knowing how to interact with it.

    Mar 22, 2026·16m·1 clip
  102. 102

    314 Deflation Economy and Unemployment—Why although unemployment is low you still don’t have a job

    Hidden gem

    Will Iverson argues that AI is creating a deflationary labor market where software and services get cheaper while wage earners still face unemployment pressure.

    Dec 5, 2025·26m·1 clip
  103. 103

    313 How AI is Disrupting Social Contracts

    Will Iverson argues that AI is changing the social contract around work, college debt, and what counts as a stable career.

    Nov 28, 2025·27m·1 clip
  104. 104

    312 AI as a Capital Market

    Hidden gem

    Will Iverson and the host examine how AI is reshaping IT jobs, investment decisions, and software design.

    Nov 17, 2025·19m·1 clip
  105. 105

    311 IT jobs, AI, and the Dystopian Gap

    Hidden gem

    Will Iverson argues that Claude, SQL, and raw JavaScript already make parts of software work cheap enough to change what tech jobs are worth.

    Oct 28, 2025·28m·2 clips
  106. 106

    310 Paradigm shifts in software development via AI: better software? More of it? Modernization?

    Agile Thoughts episode 310 features Will Iverson of ChangeNode discussing how AI-assisted development could change software output, developer roles, and technical management.

    Oct 18, 2025·19m·1 clip
  107. 107

    309 Are Software Development jobs GONE FOR GOOD—or just Evolving?

    Hidden gem

    Agile Thoughts asks whether software jobs are “gone for good” as AI tools reshape development and the technology job market.

    Sep 27, 2025·15m·1 clip
  108. 108

    308 How to get started with Unleash Feature Flags

    Sep 18, 2025·10m
  109. 109

    307 Indications in product development that suggest you need feature flags

    Sep 13, 2025·13m
  110. 110

    306 How Feature Flags are a form of Technical Debt

    Aug 22, 2025·13m
  111. 111

    305 Feature flags—Fine grain control of Features gives Ops, Business, and Customers new capabilities

    Aug 14, 2025·11m
  112. 112

    304 Unleash, the world’s most popular feature toggle

    Aug 7, 2025·15m
  113. 113

    303 Attracting Software Development Interviews

    Jul 31, 2025·10m
  114. 114

    302 Developer resumes are DEAD says Mike Mroczka

    Jul 24, 2025·10m
  115. 115

    301 Cheating on Coding Interviews

    Jul 17, 2025·15m
  116. 116

    300 Cracking coding interviews with Mike Mroczka

    Jul 10, 2025·13m
  117. 117

    299 Why that tough job may be good for you

    May 2, 2025·13m
  118. 118

    298 Senior Software Developer talks about Job Pivots

    Apr 25, 2025·9m
  119. 119

    297 Happy Job Searchers using GoldBridge.AI

    Apr 18, 2025·9m
  120. 120

    296 Job Search help from GoldBridge AI

    Apr 10, 2025·11m
  121. 121

    295 Book Publishing, Art and Business

    Mar 13, 2025·5m
  122. 122

    294 Performance Mangament & Agile

    Tom Perry and Lance Kahn discuss the challenges of implementing performance management in Agile teams, critiquing conventional approaches like 360 reviews and team-based bonuses.

    Mar 6, 2025·20m
  123. 123

    293 Mixins with Agile Frameworks

    Feb 27, 2025·11m
  124. 124

    292 Engaging Audiences by ditching PowerPoint

    Jan 16, 2025·12m
  125. 125

    291 On Safari for Impediments with Tom Perry

    Jan 9, 2025·7m
  126. 126

    290 Tom Perry’s discovery in types of Impediments

    Dec 26, 2024·12m
  127. 127

    289 Tom Perry talks dirty about Impediments

    Dec 12, 2024·12m
  128. 128

    288 Systems Thinking—Revealing Dysfunctions

    Dec 5, 2024·10m
  129. 129

    287 Systems Thinking—Revealing Secrets

    Nov 22, 2024·14m
  130. 130

    286 Systems Thinking—Power through knowing Intent

    Nov 14, 2024·14m
  131. 131

    285 Systems Thinking—POSIWID and Types of Intent

    Nov 7, 2024·20m
  132. 132

    284 What is Amplio and how to Improve

    Oct 31, 2024·18m
  133. 133

    283 Al Shalloway, from 10X Developer to Agile Consultant

    Oct 23, 2024·16m
  134. 134

    282 Al Shalloway on Missing Principle Thinking of Agile

    Oct 16, 2024·15m
  135. 135

    281 Al Shalloway and why he didn’t Sign the Agile Manifesto

    Oct 9, 2024·15m
  136. 136

    280 Agile Enterprise Architecture—Templates and Examples of Usage Patterns

    Sep 19, 2024·5m
  137. 137

    279 Agile Enterprise Architecture and Enterprise AI/ML

    Sep 12, 2024·8m
  138. 138

    278 Agile Enterprise Architects—Working out Needs and Dependencies with Agile Teams

    Sep 5, 2024·8m
  139. 139

    277 Agile Enterprise Architects—Usage Patterns

    Aug 29, 2024·11m
  140. 140

    276 Agile Enterprise Architects—Do Nonfunctional Requirements Exist?

    Aug 22, 2024·13m
  141. 141

    275 Understand AI so you can Differentiate yourself

    Aug 8, 2024·18m
  142. 142

    274 Knowledge Workers and AI, Friend or Foe?

    Jul 31, 2024·11m
  143. 143

    273 Max Good locates coaching at the Work Surface and at Scale

    Jul 23, 2024·20m
  144. 144

    272 Max Good, an AI Agile Coach

    Jul 16, 2024·17m
  145. 145

    271 Agile in the C-Suite—The AI Disruption

    Jul 11, 2024·11m
  146. 146

    270 Agile in the C-Suite—How to recognize if you’re leading in an Agile way

    Jul 3, 2024·16m
  147. 147

    269 Agile in the C-Suite—Setting Sensible Guardrails for Proactive Teams

    Jun 26, 2024·13m
  148. 148

    268 Agile in the C-Suite—Discipline is a key ingredient in Agile

    Jun 19, 2024·16m
  149. 149

    267 Agile in the C-Suite—A Model of Agile Leadership from a CXO

    Jun 13, 2024·10m
  150. 150

    266 Being Agile as a CXO—Arvind Rathore

    Jun 6, 2024·10m