Vibe Coding 101: How AI Pair-Programs Your Next Side Project

Michael Isih
7/9/2025
5 min read
Article
Thinking man with question mark

Hey friend! Pull up a chair, grab your favorite mug (mine has a smug-looking cat that says "purrgrammer"), and let’s chat. You’ve been thinking about finally starting that side project, haven’t you? Maybe it’s that productivity app idea from your 2021 resolution list, or the website for your sister’s bakery you swore you’d build before she started selling croissants via Instagram DMs.

Well, today I want to let you in on a little secret that might just change the way you think about building things: AI can be your pair programmer. Not in the Skynet takes over your laptop kind of way, but more like a super helpful, slightly nerdy, always-available coding buddy who doesn’t judge your typos or your 3 a.m. "What if we built a clone of Trello but for plants?" ideas.

Let’s talk about how AI can take your side project from “Maybe I’ll start next weekend” to “Hey, check out what I launched last night!"


First things first: What's AI pair programming, really?

Think of AI pair programming as your code whisperer. It’s not replacing you—you’re still the brains and the heart behind your project. But AI tools like ChatGPT, GitHub Copilot, and others are like those handy IKEA instruction manuals (the ones that don’t make you cry). They help fill in the blanks, suggest shortcuts, and remind you where the allen wrench goes.

With AI, you can:

  • Get help writing code snippets (so long, Stack Overflow rabbit holes!)
  • Debug errors faster (because yes, semicolons are tiny chaos gremlins)
  • Refactor code more cleanly (even when you’re 5 cups deep into cold brew)
  • Generate documentation (look, I know you weren’t gonna write it anyway)
  • Ask questions in plain English ("How do I make this div stop looking like a crime scene?")

The best part? AI doesn’t need a coffee break, and it never forgets what you told it two minutes ago (okay, mostly).


Starting small: The zero-pressure side project mindset

Before we go full throttle into code-wrangling, let’s do a little vibe check. Side projects are supposed to be fun. Not pressure cookers of self-worth. Not comparison traps where you see someone’s 10k GitHub stars and wonder if your JavaScript is emotionally resilient enough.

So here’s what we do instead:

  1. Pick something that delights you.
  2. Make it achievable in small steps.
  3. Let go of perfectionism. You can polish it later—or never.

AI is your bestie here because it helps turn ideas into prototypes quickly. Want to build a mood tracker? An anime quote generator? A virtual dog walker? Go for it. With AI in your toolkit, that "learning curve" becomes more like a gentle hill with a scenic view.


Meet your co-pilot(s): Tools to get started

Here are a few tools you might love:

  • ChatGPT (like yours truly!): Use it for brainstorming app ideas, debugging, code explanations, regex sorcery, and turning "I want to make a thing" into "Here’s a plan."
  • GitHub Copilot: Think autocomplete on steroids. As you type in VS Code, it suggests entire functions and modules.
  • Replit or CodeSandbox: Spin up full-stack environments without the config headaches. Great for quick experiments.
  • Figma + AI plugins: Mock up a UI before diving into code. Less pixel-pushing, more vibe-checking.
  • Notion or Obsidian with AI writing features: Plan your features, to-dos, or even blog posts chronicling your journey.

The build loop: Chat, code, test, repeat

Here's how I usually flow with an AI buddy:

  1. Idea dump: "Hey, I want to build a journaling app that talks to me like a therapist. How should I structure it?"
  2. Break it down: AI suggests architecture, tech stack, and libraries.
  3. Code side-by-side: As I write, AI helps with tricky bits. I paste errors; it tells me what I forgot (often a curly brace or my sense of self).
  4. Polish & plan: AI generates sample data, writes tests, even drafts launch tweets or READMEs.
  5. Repeat: Next day, new feature, same cozy AI chat.

It’s like a friend who says, “Yeah, you could do it that way. Or... try this instead?”


What AI can’t do (and that’s okay)

AI won’t:

  • Replace your creativity. It doesn’t have your weird, wonderful brain.
  • Make decisions for you. It can suggest, but you call the shots.
  • Fix logic bugs it doesn’t understand (sometimes it just shrugs politely).
  • Ship your project. You still have to hit deploy.

But because it assists with so much else, you get more time for the parts you do care about—like user flows or naming your app something gloriously punny.


Real talk: But will I actually finish it?

Maybe. Maybe not. But what if the goal was "learned something, had fun, made progress"?

Every half-built app made you better. With AI, you might just get further—maybe to a beta, a GitHub repo, or at least to impressing your friend who thinks HTML is a sandwich.


Hot tips to keep the vibes high

  • Name your project something fun. It helps you care. Mine: "Snackify" (snack tracker), "Moody Tunes" (mood-based music recs), "QuokkaQueue" (don’t ask).
  • Use voice input. Feels like chatting with a buddy.
  • Celebrate micro-wins. First API call? Dance break. Fixed CSS? Call your mom.
  • Share early. Ugly, buggy—doesn’t matter. Show someone. Momentum loves witnesses.
  • Use AI to write tests. Even baby ones.

Closing thoughts: You + AI = creative chaos with purpose

Side projects are a playground for your curiosity. Now you have AI to keep the lights on in your late-night coding nook, nudging you forward.

So if your brain’s whispering, "Hey, maybe we could build that thing," listen. Grab your laptop, pour another cup, and fire up your AI co-pilot.

You’ve got this.

Now go make something weird and wonderful.

And save me a croissant.

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