How to Build Meaningful AI Projects Instead of Subpar Vibe-Coded Apps
I shipped three “apps” last month. None of them exist anymore. Not because they failed in the market - I never even shipped them to users. They felt hollow, like demos stretched too thin.
This is the vibe-coding trap: AI makes building so easy that we skip the hard part - asking why we’re building.
The Problem: Quality at Scale
Here’s what happened to me, and probably to you too:
Idea → "This is easy!" → AI generates code → Works! → → Missing edge cases → "AI will fix it" → Patch on patch → → Feels clunky → Abandon → Repeat with new ideaThe Reddit thread that triggered this reflection had a comment that hit home:
“Focus on building the app for yourself, not for others. If you think the app is subpar for your usecase, improve it.”
Simple advice. But I was building for users I didn’t have, solving problems I didn’t have.
The Framework That Changed My Approach
After discarding those three projects, I developed a filtering process:
Filter 1: The Annoyance Test
Before opening any AI assistant, I ask:
“Does this solve a problem that annoys me at least weekly?”
If not, I don’t build it. Period.
This sounds limiting. But here’s what happened: the one project that passed this test (a tool to manage my blog content pipeline) has been iterated on for 6 months. The three that didn’t? Gone in weeks.
┌─────────────────────────────────────────────────────┐│ YOUR IDEA │└─────────────────────────────────────────────────────┘ │ ▼ ┌──────────────┐ NO ┌──────────────┐ │ Your pain? │──────────────▶│ Don't build │ └──────────────┘ └──────────────┘ │ YES ▼ ┌──────────────┐ NO ┌──────────────┐ │ Weekly need? │──────────────▶│ Don't build │ └──────────────┘ └──────────────┘ │ YES ▼ ┌──────────────┐ │ BUILD IT │ └──────────────┘Filter 2: Define “Done” Before Starting
Vibe coding produces endless work-in-progress. The dopamine hit of “it works!” makes us forget that “works” isn’t “done.”
For my content pipeline tool, I defined done as:
- Can plan a blog post from a URL
- Can store ideas and materials
- Can publish to my Astro site
Not:
- AI-powered suggestion engine
- Multi-user collaboration
- Analytics dashboard
Those would be nice. But they’re not my problem.
Filter 3: Strategic AI Usage
This was the hardest lesson. I treated AI as a replacement for thinking. Now I use it more strategically:
AI EXCELS AT: AI STRUGGLES WITH:─────────────────────────────────────────────────Boilerplate setup Product decisionsTest generation Domain-specific logicFormat translation Implicit requirementsDocumentation Architectural tradeoffsDebugging (with context) Understanding "why"The shift: I write the core logic myself. I use AI for everything around it.
For my content tool, this meant:
- I wrote: The content planning logic, the state machine for the pipeline
- AI wrote: The Flask scaffolding, the SQLAlchemy models, the Tailwind components
The parts I wrote define the product’s soul. The parts AI wrote accelerate the execution.
Filter 4: The Quality Feedback Loop
This is where most vibe-coded apps die. They ship before they’re ready, get no feedback, and the creator moves on.
For projects I actually use myself:
┌─────────────────────────────────────┐│ ││ Ship to yourself ││ │ ││ ▼ ││ Use for 1 week minimum ││ │ ││ ▼ ││ Note every friction point ││ │ ││ ▼ ││ Fix top 3 before new features ││ │ ││ ▼ ││ Goto: Ship to yourself ││ │└─────────────────────────────────────┘Every feature in my content tool has been through this loop. None of my abandoned projects had this discipline.
The Path from One to Many
One insight from the Reddit discussion stuck with me:
“The problem has always been quality ideas. Every moron has a bad idea.”
AI accelerates execution, not ideation. The bottleneck remains idea quality.
But here’s the nuance: quality ideas don’t come from market research. They come from scratching your own itch, then finding others with the same itch.
┌───────────────────────────────────────────────────────────┐│ ││ n=1 n=10 n=100 n=1000+ ││ YOURSELF SIMILAR USERS PATTERNS SCALE ││ │ │ │ │ ││ ▼ ▼ ▼ ▼ ││ Deep use Share with Generalize Scale with ││ and fix friends/ based on confidence ││ friction colleagues feedback ││ │└───────────────────────────────────────────────────────────┘My content tool is still at n=1. But it’s a quality n=1, because I’m the most demanding user I know.
Why This Matters
The market doesn’t need more apps. I’ve contributed enough abandoned projects to the graveyard.
What it needs:
- Tools that solve specific problems deeply
- Software maintained by invested creators
- Solutions that improve with use
The difference between a subpar vibe-coded app and a meaningful project isn’t the AI. It’s the human. Your taste. Your pain. Your commitment to quality.
AI just lets you execute faster. Use that speed to iterate toward excellence, not away from it.
Practical Checklist
Before your next “vibe coding” session:
- Does this solve a problem I experience weekly?
- Have I defined what “done” looks like?
- Am I writing the core logic myself?
- Will I actually use this for 1+ week before sharing?
- Am I building this for me, or for an imaginary user?
If you can’t check all boxes, maybe don’t build it. The world has enough subpar apps. What it needs is your meaningful work.
Final Words + More Resources
My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me
Here are also the most important links from this article along with some further resources that will help you in this scope:
Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!
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