AI Debugging Prompt | The Exact Prompt I Use When My App Breaks (Save This)
🪺 Real talk: my second web app broke eleven times before I figured out how to launch it. Eleven.
Every single time, my first instinct was to panic and tell the AI “FIX IT.” Every single time, the AI changed eight things at once and broke four more.
Then I figured out the rule that changed everything: ask first, build second.
Who this is for:
— Anyone vibe coding for the first time
— People who’ve watched their AI projects spiral when something breaks
— Builders using Lovable, Bolt, v0, Claude, or ChatGPT to make things
The exact prompt is on slide 3 ↓
What it forces the AI to do:
1. Diagnose first, fix second
2. Explain what’s broken in plain English
3. Tell you what it’s about to change BEFORE touching code
4. Confirm with you before it makes anything worse
Pro tip: when something feels off, ask questions before you let the AI fix anything.
— “How is this supposed to work?”
— “Explain it to me in plain English.”
— “What are you about to change, and why?”
You’re not a passenger. You’re the art director. ✨
When the AI says “I’m not sure” — that’s a green flag, not a red one. A confused AI that asks questions beats a confident one that breaks your app every single time.
Save this for the next 3 AM debugging panic 🪺
#aidebugging #vibecoding #buildwithai #aiforbeginners #aitools #debugging #lovableai #boltai #aiformoms #lemon8tech
When I first started using AI to build and maintain my apps, I faced endless frustration—my second web app literally broke eleven times before I finally got it right. The major turning point was shifting my approach from telling the AI to "just fix it" to guiding it through diagnosis followed by confirmation before fixes were applied. This saved me countless hours and headaches. Here's what I've learned that can help you in your AI debugging journey: Always prioritize understanding the problem. When your AI says "I'm not sure," don't panic—this is a positive sign. It means the AI is engaging thoughtfully with your code instead of blindly changing things. Encourage the AI to explain the last few changes it made, identify what likely caused the issue, and suggest minimal fixes—all in plain English. This transparency empowers you to make informed decisions rather than blindly accepting changes. One ritual I developed was to save the debugging prompt that breaks down the problem step-by-step and use it as a first response when things go wrong. Before letting the AI touch any code, I ask: "How is this supposed to work?" and "What are you about to change, and why?" This helps me stay the "art director" of my project, not just a passenger. If you’re using AI tools like Lovable, Bolt, Claude, or ChatGPT for building projects, adopting this mindful approach transforms debugging from a panic-filled ordeal into a manageable, structured process. Lastly, frequent reflection helps. Every week, I revisit prompts and strategies, refining how I interact with AI. It’s all about building a dialogue, not issuing orders. Keep this mindset, and your AI-assisted development will steadily improve, reducing those dreaded 3 AM panic sessions.