Lead Prompt Podcast

In this episode of Lead Prompt, I explore why our current AI models—despite feeling incredibly advanced—are actually maxing out the physical limits of the classical computing era. I break down the central bottleneck holding back the Quantum AI revolution, specifically the architectural trap of qubit wiring noise, and highlight how breakthroughs in photonic quantum computing, like China's Jiuzhang 4.0, are successfully bypassing these constraints. Finally, I discuss what happens when stable quantum architectures eventually collide with artificial intelligence to natively simulate reality, and why we must continue executing and building with our classical stacks today while keeping a clear eye on the quantum horizon.

Show notes are here: https://leadprompt.sh/a/750-Classical-AI-and-the-Quantum-Horizon

In this episode of Lead Prompt, I break down why the most powerful thing you can do as a leader is simply listen. We are often conditioned to think that leading means constantly talking, steering conversations, and selling our ideas, but true leverage comes when we learn how to "buy" the perspectives of others. I share how to use intentional silence in your one-on-ones to uncover what your team is really thinking, why I get highly suspicious when my tech leads stop pitching to me, and how flipping the script during a high-stakes job interview landed me a VP of Engineering role. If you are constantly trying to have the smartest answer in the room, you are missing out on critical data, so tune in to learn how to stop selling and start buying.

Show notes are here: https://leadprompt.sh/a/749-Smart-Leaders-Buy,-Weak-Leaders-Sell-2026w27

Keywords:

leadership, tech leadership, engineering management, active listening, tech lead, management tips, VP of engineering, software engineering, leadership development, career advice, interview tips, engineering manager, communication skills, leadprompt, software development

I have a confession: I struggle to trust a software engineer who doesn't know how to use curl. In this episode of Lead Prompt, I unpack a troubling trend I'm seeing across the industry: the rapid loss of foundational networking skills. As we stack layers of abstraction from cloud providers to AI, too many developers are treating the internet like a magical, infinitely fast black box. I share my thoughts on why this convenience comes at a dangerous cost, how it paralyzes teams when things inevitably break, and why I believe the most resilient systems are built by curious engineers who aren't afraid to peek under the hood and understand the plumbing.

Show notes are here: https://leadprompt.sh/a/748-Software-engineers-need-to-know-networking-2026w26

Keywords:

software engineering, computer networking, networking for developers, tech leadership, curl command, system architecture, debugging, web development, API troubleshooting, cloud abstraction, AWS, AI software development, software architecture, engineering management, linux command line, leadprompt, john collins

In this episode of Lead Prompt, I explore how toxic concepts in software engineering replicate and spread from team to team like biological viruses. Drawing on Richard Dawkins’ original definition of the "meme" from The Selfish Gene and the cautionary humor of Idiocracy, I break down how even smart developers get infected by bad ideas, like cargo-culting FAANG architectures or carrying over broken management practices, often driven by the Dunning-Kruger effect. To cure this cultural infection and avoid inheriting legacy thinking, I explain why the best technical leaders must act as historians of our industry rather than blindly repeating the costly mistakes of our predecessors.

Show notes are here: https://leadprompt.sh/a/747-Bad-ideas-are-carried-forward-by-idiots-2026w25

Keywords:

leadprompt, software engineering, technical leadership, engineering management, software architecture, Richard Dawkins, The Selfish Gene, idiocracy, Dunning-Kruger effect, cargo cult programming, tech culture, engineering history, John Collins, tech podcast, software development

The Metamorphosis of Prime Intellect is widely praised as a visionary masterpiece of the singularity, but I'm here to tell you it is the absolute worst book about artificial intelligence I have ever subjected myself to. In this episode of leadprompt.sh, I am breaking down exactly why this so-called "hard sci-fi" classic completely derails itself. I get into the horrific opening chapters, the absolute abandonment of actual systems architecture in favor of magical tech hand-wavium, and a bizarre, deeply uncomfortable ending that undoes the entire narrative. If you are looking for genuine explorations of post-scarcity tech, skip this book, but stick around for my full review on why it missed the mark so spectacularly.

Show notes are here: https://leadprompt.sh/a/746-A-rant-about-the-worst-AI-book-ever-written-2026w24

Keywords:

The Metamorphosis of Prime Intellect, Prime Intellect, Roger Williams, sci-fi book review, bad sci-fi, worst books, artificial intelligence, AI fiction, singularity, transhumanism, hard sci-fi, science fiction rant, booktube, post-scarcity, cyberpunk, leadprompt, John Collins, tech leadership, book review, systems architecture

In this episode of leadprompt.sh, I explore why accepting that "everything breaks all of the time" is actually the foundation of a resilient engineering culture. Instead of chasing the impossible goal of perfect uptime, I break down how you can build systems designed for rapid recovery using observability, auto-remediation, and AI predictive tools. Beyond the tech stack, we dive into the reality of managing a Sev-1 outage, where I share my strict "facts only" rule for communicating with business stakeholders and shielding your team while the red lights are flashing. Join me as we unpack why inevitable system failures aren't just an infrastructure problem, but the ultimate test of your leadership.

Show notes are here: https://leadprompt.sh/a/745-Everything-breaks-all-of-the-time-2026w23

Keywords:

Engineering Leadership, Tech Leadership, SRE, Site Reliability Engineering, DevOps, System Resilience, Incident Management, Software Engineering, LeadPrompt, John Collins, Observability, Blameless Post-mortem, Auto-remediation, Infrastructure as Code, Tech Podcast, Root Cause Analysis, Uptime, Sev-1 Outage

Remember when we used to spend our weekends arguing over the "right" routing syntax or which JavaScript framework was going to take over the world? Those days are rapidly ending.

In this episode of Lead Prompt, I break down why the developer ecosystem has completely pivoted away from frameworks and toward AI models. From my early days releasing the Alpha Framework for PHP to today's frontier of running open-weight models locally on Linux hardware, the landscape of software engineering has fundamentally shifted.

We dive into the hard data, including the latest GitHub Octoverse and State of JS reports, to see exactly why Python dethroned JavaScript, why boilerplate is now virtually free, and why our core jobs are shifting from "code authorship" to AI orchestration.

Are we losing the shared guardrails of the developer community, or are we finally returning to First Principles engineering where we control the system down to the root? Let's get into it.

Show notes are here: https://leadprompt.sh/a/744-Devs-have-pivoted-from-frameworks-to-AI-models-2026w22

Keywords:

Lead Prompt, John Collins, software engineering, systems architecture, technical leadership, artificial intelligence, local AI, Ollama, open weight models, software frameworks, JavaScript frameworks, Python, AI orchestration, developer trends 2026, GitHub Octoverse, Ruby on Rails, microservices, open source AI, First Principles thinking, agentic software development, tech podcast

Why do large enterprises treat their engineering teams like a massive liability? In this episode, I break down the painful reality of the "build vs. buy" vendor trap, and how generative AI is giving software leaders the ultimate leverage to fight back. Learn how to transform your department from a resented cost center into a lean, AI-augmented strike team capable of building bespoke internal software for a fraction of a vendor license, all while maintaining strict security over your proprietary data.

Show notes are here: https://leadprompt.sh/a/743-Why-Your-Enterprise-Hates-Software-2026w21

Keywords:

software engineering, technical leadership, enterprise software, build vs buy, vendor lock in, generative ai, ai coding tools, platform engineering, software architecture, engineering management, cto advice, tech leadership, developer productivity, ai agents, software development, lead prompt, john collins

We panic about AI writing bad code, but are human programmers actually any better? In this episode of Lead Prompt, I draw on over twenty years of software engineering experience to expose an uncomfortable truth: humans are objectively terrible at programming. Beyond the weekly headaches of deployment regressions and the false security of human-written unit tests, I break down five of the most catastrophic software failures in history, including the tragic Therac-25 accidents, the Ariane 5 rocket explosion, and Knight Capital's $440 million glitch. Tune in to explore why placing blind faith in human developers has historically been a recipe for disaster, and why our industry's fear of artificial intelligence might be completely misplaced.

Show notes are here: https://leadprompt.sh/a/742-Humans-are-terrible-programmers-2026w20

Keywords:

Lead Prompt, John Collins, leadprompt.sh, Tech Leader Pro, software engineering, programming, software bugs, coding, tech history, AI vs humans, software development, tech leadership, software regressions, unit testing, worst software failures, Therac-25, Ariane 5, Mars Climate Orbiter, Knight Capital glitch, Patriot missile failure, software architecture, technical debt, artificial intelligence, AI programming

In this episode of Lead Prompt, I dive into Ben Smith's bleak science fiction novel Doggerland to explore the psychological toll of extreme technical debt and absentee leadership. Through the story of two isolated men trapped in an infinite loop of repairing a decaying offshore wind farm, we unpack the stark realities of maintaining "zombie infrastructure," the dangers of losing strategic vision to the daily grind of survival, and why inheriting undocumented legacy architecture is a unique professional nightmare. If you want to understand the cultural rot that sets in when tech teams stop asking why they are building and only focus on what is broken, throw away your management books and step into Doggerland.

Show notes are here: https://leadprompt.sh/a/741-The-Science-Fiction-Book-Every-Systems-Architect-Should-Read-2026w19

Keywords:

Technical Debt, Software Engineering, Tech Leadership, Systems Architecture, Legacy Code, Zombie Infrastructure, Engineering Management, Doggerland, Ben Smith, Sci-Fi Book Review, Lead Prompt, Tech Culture, DevOps, CTO, Software Developer, Legacy Systems, IT Infrastructure, Developer Productivity, Tech Podcast