Ai: just good for slop code?
This is a summary of a video I published on YouTube. You can click on the link below to watch the full video.
AI doesn’t make bad code. Developers do.
I hear this a lot now: “AI just helps people write sloppy code faster.” That can be true. But it misses the real issue.
The problem isn’t the tool. It’s the developer using it.
If you don’t understand how software actually works—how systems are structured, how data flows, how state is managed—AI will happily help you build something that looks right and behaves wrong. And you won’t know the difference until it breaks.
The 80% trap
I’m seeing a pattern. People with limited experience jump into AI-assisted coding and get surprisingly far. They can spin up apps, connect APIs, and get something working.
Then they hit a wall.
At around 80%, things start to fall apart. The app becomes unstable. Bugs get weird. Fixes create new problems. Progress slows to a crawl.
Why?
Because that last 20% is where real engineering lives:
- Understanding system design
- Managing complexity
- Debugging unpredictable behavior
- Making code maintainable
AI can generate code. It can’t give you judgment. And that’s what you need to finish the job.
Two types of developers
Right now, I see two groups forming.
The first group leans heavily on AI without a solid foundation. They move fast at the start, but they stall when things get complicated. They don’t have the mental models to diagnose or fix deeper issues.
The second group already understands how software works. They think in systems. They know what clean structure looks like. When they use AI, it’s a force multiplier.
Same tool. Completely different outcome.
One group produces fragile code faster. The other produces solid systems faster.
Speed without understanding is a dead end
There’s a temptation to believe you can skip the hard parts now. Let AI handle it. Just keep prompting until it works.
That approach will cost you more time, not less.
You’ll spend hours chasing strange bugs, rewriting chunks of code you don’t fully understand, and patching over structural problems you can’t see clearly.
Speed only matters when you’re moving in the right direction.
The real takeaway
If you want to get value from AI, don’t treat it like a shortcut. Treat it like a tool that amplifies what you already know.
Focus on fundamentals:
- How systems are designed
- How components interact
- How to reason through problems
AI can help you write code. But only you can decide if that code makes sense.
And that’s the difference between building something that works today… and something that still works six months from now.
Watch the video on YouTube here 👉 Ai: just good for slop code?
Thanks for reading!
Stef