Your Platform Has a New User: The Agent
We built internal platforms for developers. Now those developers increasingly arrive with an AI agent beside them. That changes what a good platform needs to provide.
★tag · 21 essays
#ai-strategy
All essays tagged ai-strategy.
The Frontier on Your Laptop
Open-weight models have raised the local capability floor while hosted intelligence keeps getting cheaper. The strategic question is no longer which side wins, but which model earns each workload.
★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.
★The More AI We Have, the More Human Judgment Matters
AI is making execution abundant. As intelligence becomes cheaper and more accessible, durable organizational advantage shifts toward judgment, context, verification, and leadership.
★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.
★Paying for Intelligence Twice
Satya Nadella named a real problem: AI workflows generate valuable learning exhaust from proprietary context and corrections. He is right about the asset. My practitioner's edit is simple: own the learning loop, not necessarily the model.
★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.
★Trust the Gate, Not the Actor
AI has made generation cheap. The durable advantage now belongs to teams that can encode judgment into gates that verify whether the work should ship.
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.
★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.
★The AI Operating Ledger
Enterprise AI is entering its accounting phase. The winners will measure verified outcomes, not just tokens, subscriptions, or generated output.
★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.
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.
★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.
★Code Review Your Prompts
Viral prompt threads borrow the language of science without the rigor. Here's a four-question code review for any prompt, plus a worked example that shows the gap between sounding authoritative and being right.
Stunning UIs Aren't Just Designed. They're Enforced.
A field report on building Inkwell, a pure-CSS design system that turns taste into repeatable constraints for people, teams, and coding agents.
The Bottleneck Is Never the Stack
A year of writing, one argument, and a working theory of where software is going
★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.
★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.
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.
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.
★