Recently, I’ve been thinking a lot about the pace of our work. If you’re like me, you’ve probably noticed that using LLMs and AI agents can accelerate our output exponentially. It’s a rush. We can spin up environments, stub out boilerplate, and debug in seconds. We are moving projects forward, shipping features, and squashing bugs faster than I ever thought possible.
But there is a dangerous side effect to all this velocity.
As we get more comfortable using agents, we start to trust the agent’s output more and more. We stop being critical of what it produces because, hey, it works, right? But “working” and “architecturally sound” are two very different things. If we aren’t careful, we fall into a trap where we are coding faster, but we are also coding ourselves into a corner.
The “Speed Trap”
I’ve written before about the sinking feeling of joining a project and realizing you’ve inherited a total disaster of a codebase. It’s that feeling where you don’t know left from right, the variable names are nonsensical, and the system is so brittle that changing one line brings down production.
In the past, these disasters were often the result of “rushed” work—tight deadlines and shifting requirements. But today, we are creating these disasters voluntarily by moving at the speed of thought. When you let an agent decide the architecture for you, it doesn’t care about long-term maintainability or scaling requirements. It cares about the immediate prompt.
If you get coded into a corner because you didn’t take the time to critique the agent’s design, you aren’t just creating technical debt; you’re creating a nightmare that you’ll have to untangle later.
The Shift: From Coder to Architect
When the machine can write the code instantly, your value as a developer doesn’t come from your typing speed. It comes from your judgment.
This is the pivot we all need to make: stop being just a “Coder” (the person who types) and start being an “Architect” (the person who decides what gets built).
The pause before you hit “Generate” is now the most valuable part of your day. It’s not “wasting time”; it’s the insurance policy for the future of your application. Here are a few ways I’ve started to build that “Architectural Pause” into my workflow.
The Six-Month Test: Before accepting an AI-generated solution, ask yourself: “If I build it this way today, how painful will it be to tear it out in six months?” If the answer makes you cringe, don’t generate the code. Iterate on the prompt or the architecture until you feel confident that you aren’t building a house of cards.
Documentation First: I have a rule now: I don’t hit “Generate” until I can explain the what and the why in plain text in a scratchpad. If I can’t articulate the data flow or the dependency structure clearly, I’m not ready to generate the code yet. If I can’t describe it, the AI is just guessing—and it’s guessing with my production environment.
Rubber Duck the Architecture: We usually think of rubber ducking as a way to fix bugs (a practice I still swear by). But it works for design, too. Explain the entire architectural plan to your duck. “First, the user hits this API, then we transform the data in the backend, then we persist it here…” If the flow sounds convoluted when you say it out loud, it will be a nightmare to debug later. Fix the flow before you fix the syntax.
Don’t Outrun Your Foundation
It’s easy to feel like you’re “winning” at development because you’re shipping faster than ever. But speed is only a virtue if you’re heading in the right direction.
Taking the time to be critical, to step back, and to think through the long-term impact of your code isn’t slowing you down—it’s preventing a future disaster. Don’t let the speed of the machine convince you to abandon the principles of sound engineering.
The developer who stops to think, asks “why,” and pushes back on an immediate, brittle implementation isn’t a bottleneck. They’re an architect. And in the age of AI, that’s exactly who we need to be.