Let AI Write the Code That Handles 80% of Your Work Consistently

TL;DR: Most of what you build is variations on a small number of patterns. The real win with AI is having it build the reusable code for that 80% — the helpers, the templates, the boring scaffolding — so every future use case produces the same shape of output. Stop asking AI to write one feature at a time. Ask it to build the machinery that makes the next forty features look identical.

The thing nobody warns you about

The first month I used AI to help with WordPress builds, I was thrilled. The second month, I was annoyed. The third month, I figured out what was actually going on.

The problem wasn’t that the AI was bad. The problem was that it was too creative. Ask it to build the same kind of feature on a Tuesday and again on a Thursday, and you’d get two completely different versions. Different file structure. Different naming. Different way of handling the same basic problem. Both worked. Neither matched what the rest of the project looked like.

It felt a bit like hiring a new contractor every morning. Each one was talented. Each one had their own opinions. None of them had ever seen what the previous contractor built.

That’s not a code problem. That’s a consistency problem. And once I started thinking about it that way, the fix became obvious.

The realization: AI isn’t a developer, it’s a really fast new hire

Think about what happens when a brand-new person joins a team. On day one, they don’t know:

• How files are named around here
• What “done” looks like
• Which helper functions already exist
• Which mistakes the team has already paid for once
• Which decisions are sacred and which are just preferences

A good team hands the new hire a short document — a style guide, a checklist, a “how we do things” page. Once they’ve read it, they stop guessing. They start matching.

AI is exactly the same. It has all the talent in the world, and zero memory of your project. Every fresh chat is day one. Every new task is a new contractor.

The only sustainable answer is to write down your house rules and put them somewhere the AI will actually read them.

The real prize: AI writing the code that handles 80% of your work

Here’s the thing I had to admit to myself: roughly 80% of what I build is the same handful of patterns, just dressed differently. A content block here. A card layout there. A form. A list. A banner. The shapes repeat. Not just in WordPress — in almost any project, most of the work is variations on a small set of moves you’ve already made before.

That 80% is where AI does its best work — but not in the way most people use it. The usual move is to ask AI to build each new feature from scratch. That’s the slow path. It looks fast in the moment, but every feature ends up subtly different, and you spend the time you “saved” reconciling them later.

The real play is to flip the order. Use AI to build the reusable code that handles the 80% itself — the helpers, the templates, the shared opening lines, the small library of “do it this way” examples. Once that machinery exists, every future feature is just AI plugging new content into the same proven shape.

That’s the part that quietly changed everything for me. The artifact isn’t the feature. The artifact is the reusable code that makes the next forty features look identical. AI is unreasonably good at producing that kind of code once you point it in the right direction, because the work is boring and pattern-heavy — exactly the kind of thing humans are bad at staying disciplined about.

When the reusable layer is in place, three things happen at once:

• New work always comes out in the same shape, regardless of which day, which mood, or which chat session it was built in
• I stop reviewing code line by line, because I already know what the shape will look like
• Future me (or anyone else who opens the project) can read one file and basically understand the next forty

That’s the real win. Not “AI wrote my feature fast.” More like “AI built the thing that makes every future feature come out the same.”

(There’s a 20% of weird, one-off work that doesn’t fit any pattern — custom integrations, oddball edge cases. I’ll come back to that at the end. It’s a smaller problem than people think.)

The 5-step process: have AI build the 80% layer

Here’s the approach I now use for any WordPress build (or honestly, any project where I’m leaning on AI a lot). The goal is to have AI build the reusable code that handles the predictable 80%, then have it use that code for every new feature. Plain English; the same idea applies whether you’re working on a website, a spreadsheet macro, or a recipe blog.

Step 1 — Spot the shapes that repeat

Look at your last few projects. What did you build over and over? In my WordPress world, it’s content blocks — almost every page is just blocks stacked on top of each other.

Whatever your repeating shape is, name it. Write down a one-line description. This is what AI is going to be building reusable code for. If you skip this step, AI has no target to aim at and the rest doesn’t work.

Step 2 — Have AI build a single helper that handles the boring opening

Every repeating shape has a boring opening — the same five or ten lines that have to be there before any actual work happens. Ask AI to build one helper that wraps all of that and exposes it as a single function call.

This is the most important piece of code in the whole project. Once it exists, every new feature starts the same way — same opening, same setup, same handoff into the real work. AI just calls the helper and gets on with the actual content.

The point isn’t to save typing. The point is that the first 25 lines of every file end up identical, which means there’s no surface area for drift. You’ve literally removed the option to do it differently.

Step 3 — Have AI build a small library of canonical examples

Once the helper exists, ask AI to build one polished version of each repeating shape — one canonical card, one canonical form, one canonical list. These aren’t features you ship. They’re references. They’re the recipe book for the project.

Every future “build me a card” request becomes “build me a card that mirrors this card.” AI is unreasonably good at copying patterns when you point at one. It’s just bad at inventing patterns from thin air that happen to match what you would have written. The canonical examples kill that whole class of problem.

Step 4 — Have AI write down the project’s non-negotiables

These are the rules that aren’t about taste — they’re about not getting hurt. In my world, they look like:

• Always escape user input (this is a security thing, not a style thing)
• Always use the project’s exact label for things (one typo and translations break)
• Always bump a timestamp when you change a config file (or syncing silently breaks)

Ask AI to capture these in a single plain-English document inside the project. From then on, every task it touches reads that document first. Five or ten rules is plenty. Once they’re written, AI quietly stops making the same recurring mistakes — every block escapes its input the same way, every config bump happens automatically, every label is spelled the way the project expects.

Step 5 — Tell AI to mirror the existing code, always

Now you have the three things that make consistency possible: a helper, a library of examples, and a small set of rules. The final piece is one standing instruction for every new task: “Use the helper. Mirror the closest existing example. Follow the rules.”

That sentence is the contract. Once it’s in place, AI stops generating from scratch and starts assembling from the reusable pieces you already had it build. New work comes out looking like old work — not because AI is being careful, but because the reusable layer left it nowhere else to go.

What it feels like when the 80% layer is in place

Once those five things exist in the project, working with AI gets eerily calm. I ask for a new block, and the AI:

1. Calls the helper for the boring opening
2. Finds the closest canonical example and mirrors it
3. Follows the written rules without me having to mention them
4. Cites what it used at the end of its reply so I can spot-check

The output looks like something I would have written on a focused day. It slots into the project so cleanly that the next person — including future me — can’t tell which parts were typed and which were generated. That’s the whole goal.

That’s the win. Not “wow, that was fast.” More like “oh, of course it looks like that — it always looks like that.” Boring. Predictable. Shippable without ceremony. The 80% of my work that used to vary based on my mood, my energy level, or which AI chat I happened to be in stopped varying. AI built the layer that handles it, and every future use case just rides on top of that layer.

A quick word about the weird 20%

The remaining 20% is the stuff that genuinely doesn’t fit any pattern — a custom integration, an oddball animation, a page that behaves differently for different users. Real puzzles.

You’re never going to make that bucket consistent, and you shouldn’t try. The trick is just to add one extra rule: “If it doesn’t match an existing pattern, stop and ask before guessing.” That single sentence turns edge cases into a short conversation instead of a confident wrong answer.

That’s it. The 20% gets one rule. The 80% gets everything else. The math of where to spend your attention is unbelievably forgiving.

The bigger lesson

The shift in my head was small but important: stop asking AI to build features. Ask it to build the layer that makes every future feature come out the same.

Most people use AI as a faster typist — one feature at a time, each one slightly different. That gets you speed and inconsistency in equal measure. The flip is to spend the early hours having AI build the reusable code that handles your 80%, and then let every future task ride on top of it. The speed compounds. The consistency compounds even more.

Building the 80% layer is mostly a one-time investment. Every chat, every new feature, every new project that reuses those pieces quietly benefits. The hour I spent having AI build my helpers and write down my rules saved me dozens of hours of “wait, why did it do that?”

If you only take one thing from this

Don’t use AI to build one feature at a time. Use AI to build the reusable code that handles 80% of your features — then have it produce identical output every time it touches that 80%.

You don’t need a perfect system. You don’t need a 50-page playbook. Pick the shapes that repeat. Have AI build a helper for the boring opening, a small library of canonical examples, and a short list of non-negotiable rules. Then tell it to mirror and reuse, not invent.

The 80% of your work that used to vary stops varying. The codebase gets boring in the best possible way. And you stop reviewing every line of AI output, because you already know what it’s going to look like — because it always looks like that.

That’s the real win. Not faster. Consistent. Once you feel the difference, you won’t want to go back.