podcast · 20 episodes
Never the Stack
The bottleneck in software has never been the stack. It is clarity: of intent, of specs, of judgment. Never the Stack turns the essays here into short two-voice conversations about engineering leadership, platform strategy, and enterprise AI. Narrated by AI, on purpose.
How to listen
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How it’s made
Every episode starts as an essay I wrote. I feed the finished essay to Google’s NotebookLM, which generates the two-host conversation you hear. The voices are AI. The essays, the ideas, and the mistakes are mine. Each episode links back to the original essay, which is always the canonical version of the argument.
episodes
Latest episodes
- 23:17
Don't Automate the Apprenticeship Out of Engineering
Entry-level work was never just cheap execution. It was the training system that produced the people capable of judging what the machines build.
- 21:13
The Modernization Backlog Just Got Repriced
The rewrite taboo broke for systems that can grade their own replacement. At enterprise scale, the first modernization dollar should fund the answer key, not the port.
- 20:10
Everyone Knows You Never Rewrite
For twenty-six years, the full rewrite was the cardinal sin of software engineering. Then one engineer ported half a million lines of Bun from Zig to Rust in eleven days. The taboo was never about code. It was a price tag, and for systems whose intent lives in an executable oracle, the price just collapsed.
- 18:22
Work Is Hard Enough
Work is already hard. Leadership should remove the avoidable human drag: unclear decisions, unsafe disagreement, personal friction, and cultures where telling the truth costs too much.
- 19:41
Still in the Code
I lead engineering at a Fortune 100 company, and I still ship my own software. Not because leaders need to prove they can code, but because AI is changing the work faster than secondhand models can keep up.
- 21:22
Complexity Is Inevitable. Drag Is Optional.
Complexity is inevitable in modern engineering. Drag is optional. The work of leadership is turning repeated friction into platforms, defaults, and systems that help teams move faster with trust intact.
- 23:12
The Kill Switch Was Always There
A government order took Anthropic's Fable 5 and Mythos 5 offline. The lesson for enterprise AI is architecture: portability gets you out, verification gets you out safely.
- 21:27
The Agent Era Gets an Invoice
Build, WWDC, two confidential S-1 filings, and a tiered frontier model launch hit in the same two weeks. The agent became the interface just as the invoice arrived.
- 18:51
The AI Operating Ledger
Enterprise AI is entering its accounting phase. The winners will measure verified outcomes, not just tokens, subscriptions, or generated output.
- 19:42
Your First AI Reorg Should Be the Work, Not the People
Most AI reorgs open with a headcount model. The better sequence redesigns workflows, decision rights, ownership, and evaluation loops first, then lets the org chart follow the work it is meant to describe.
- 21:57
The Subsidy and the Severance
AI's free-lunch phase is ending, and that makes AI-driven layoff math harder to defend. Two repricings, one ledger.
- 21:27
Workflow.ts: When the Code Runs the Agent, Not the Other Way Around
Agent loops let the model pick the next step. Workflows invert that. Code owns the control flow; the model owns the judgment inside each step. Here is the TypeScript file I am running today, type-checked against the live SDK, and the honest answer to whether you should build this now or wait for the official tool.
- 14:57
The Frame Is the Bottleneck
My thesis is that as agents get better at execution, the primary constraint for organizations shifts from technical production to the human-led framing of problems.
- 21:02
The Spec Is the Product
Code used to be the durable asset. In an agentic SDLC, that changes. Code becomes the regeneratable output of a system that runs on something more important: a clear, versioned, reviewable specification. That shift changes what engineering organizations invest in, how they govern delivery, who they hire, and what they actually ship.
- 21:15
AI Populism is a Builder's Problem
Jasmine Sun argues AI politics has a new meta, and the warning shots have started. Reading her piece as an engineering leader, here is what the narrative failure looks like from inside a large team, why sociopolitical alignment is our job, and what each of us owes our own career in a market this fast.
- 26:24
Building Cloud From Zero: Five Decisions That Compounded and Three I’d Redo
After two greenfield cloud builds in financial services, these are the decisions that aged well, the ones I would redo, and why the small choices in year one decide whether you have a platform or a pile in year five.
- 23:50
AI Did Not Configure My Network. It Helped Me Understand It.
A weekend home-networking project became a practical lesson in AI-assisted reasoning, documentation, guardrails, and engineering judgment.
- 19:29
Spec, Standards, Specialists: How I Actually Build with AI
The strategy posts say AI software development is a system. Here is the working loop I run inside that system: a refined specification, a layer of standards, and a coordinated set of specialists doing the work.
- 19:24
I Built a Design System in Two Hours. Figma, We Should Talk.
Anthropic's new design tool does not threaten senior designers. It threatens the apprenticeship that made them senior.
- 21:20
The Agentic SDLC: Uniting the AI Tool Sprawl
Every tool in your product development life cycle is now an AI agent trying to do everything. Here is how to stop the chaos, draw the right boundaries, and build an orchestrated pipeline that actually works.
Each link opens the essay, where the player lives. Not every essay gets an episode; the audio filter shows the ones that did.