We've all been there. You're deep into a project, making great progress, and then you hit a wall. Maybe the app is having trouble reading data from the API, or your code for handling mistakes feels messy and confusing.
Instead of reaching for the official docs, you reach for the AI—your "coding genius."
That was my first big mistake.
Ten minutes later, all my clean, manual progress was gone. The AI had:
- Restructured my structs without asking.
- Injected unnecessary pointers that made no sense.
- Turned my logic into a "hallucinated" masterpiece that wouldn't even run.
I didn’t realize it then, but I had fallen into the trap. I barely understood what was happening in my own file. It became a frantic back-and-forth conversation with ChatGPT where all I was doing was prompting, copying error messages, and pasting code. We all know how the copy-paste game ends.
How I Saved the Project:
To save my work, I had to stop the cycle. I was the victim, and my project was the casualty. To get back on track from that AI-generated mess, I had to take these steps:
- The Hard Reset I had to go back to my last working version. If you aren't using Git yet, let this be your wake-up call. Being able to "undo" a hallucination is the ultimate safety net. I opened my terminal and ran:
bash
# This command resets your file to the last saved version
git checkout -- weather_app.go
Just like that, the AI "slop" was gone, and my original logic was back.
- Surgical Prompting I stopped giving the AI my entire file. I isolated one specific logic block and asked: "Why is this specific line throwing an error?"
- Verification Once the AI suggested a solution, I verified it using outside resources like StackOverflow and the Official Go Docs. This helped me actually learn the why behind the fix.
- The "No-Paste" Rule Instead of pasting the code directly, I forced myself to manually type the solution back into my editor. This rebuilt the mental connection between my brain and the screen.
The "S.P.E.C." Framework:
From this encounter, I’ve learned that AI should be your last resort, not your first move when you hit a dead end. To keep your code from turning into "Slop," follow this framework:
- S - Scope: Give the AI only the snippet it needs. "Only edit the FetchWeather function."
- P - Parameters: Explicitly tell it: "Use only standard libraries."
- E - Edge Cases: Ask: "How should this handle a 404 or a timeout?"
- C - Constraints: Be firm: "Do not change my existing struct definitions."
Final Thoughts:
In 2026, anyone can prompt, but not everyone can engineer.
Don't let AI be the lead architect of your learning journey. Use it as a pair programmer that requires strict instructions. The moment you stop understanding what you're doing or what is on your screen—stop.
Go back to your original code, follow the framework, and stay in control of your logic.
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