I asked a Principal Engineer what’s the most important part of programming…
It wasn’t:
- Memorizing syntax
- Mastering a specific language
- Architecture
- Learn how to leverage AI
- And it certainly wasn’t “Learn to vibe code”
His Answer?
Organization
That was….unexpected. I asked him to explain:
⏩Code is read far more than it’s written: Good organization makes navigating old code fast instead of turning every bug fix into a scavenger hunt
⏩It’s what lets a codebase scale past one person’s head: Once a team is involved, organization becomes the shared mental model everyone relies on. Without it, onboarding is slow and logic gets duplicated
⏩It determines how expensive change becomes: Syntax errors get caught instantly. Poor organization “quietly” makes every future change slower and riskier because nobody knows what’s safe to touch
⏩It’s a forcing function for clear thinking: You can’t organize code well without understanding the problem you’re solving. Messy structure is usually a sign of messy thinking
I laughed and said, “Man…I thought you were going to say SOLID principles or something.”
He smiled and said: “That’s the thing Jaclyn. SOLID principles and other architecture are really just organization in disguise. Architecture defines the boundaries. Organization is what keeps those boundaries intact as the codebase grows. One without the other falls apart. Find me an engineer who disagrees and I’ll show you someone who doesn’t understand the fundamentals.”
So What Does This Mean If You’re in TA/Recruiting & Building AI Workflows??
It means you need to understand that although AI can write the code for you now, it can’t organize your thinking for you. That’s still on you. Top Tips:
- Tell the AI how to structure things, don’t just ask for a feature. “Build me a candidate tracker” gets you a pile of code. “Build me a candidate tracker with separate files for the data, the logic, and the UI” gets you something you can actually maintain. Structure isn’t optional just because you didn’t write every line.
- Name things like a human will read them later, because one will. AI will happily name a variable x or a function doStuff. You won’t remember what that means in two weeks. Push back and ask it to use clear, descriptive names, even if it feels like extra work upfront.
- Don’t let “it works” be the finish line. AI-generated code that runs isn’t the same as AI-generated code that’s organized. Ask it to explain what it built and why it put things where it did. If the explanation is confusing, the organization probably is too.
- Treat every AI session like it’s the last person who’ll ever touch this project, because it might be you in six months. If you can’t quickly find where something lives or how pieces connect, that’s the same 20-minute scavenger hunt the engineers deal with, except now it’s happening to someone without an engineering background to fall back on.
The tools have changed. The lesson hasn’t: whoever (or whatever) writes the code, the code still has to make sense to a human later. That’s organization’s job, and it’s still yours to demand it.