AI Is Like Having an Intern: Helpful, But Not Ready for Production
Yes—AI can take over repetitive, boilerplate work.
It can suggest frontend code, spin up backend APIs, or even draft your cloud configs.
But you can’t blindly trust it in production.
1. AI as a Junior Teammate
Think of AI as your junior teammate:
👉 You assign tasks.
👉 It delivers a draft.
👉 But you still need to review, debug, and ensure quality.
2. The Benefits of Using AI
The real benefit?
You spend less time repeating the same patterns and more time on what really matters:
- Logic building
- Problem-solving
- Creativity
AI is here to stay. The ones who learn to work with it instead of fighting it will unlock massive leverage.
3. Where to Draw the Line
But remember:
- If you don’t understand the code, you can’t debug it.
- Trust AI only with tasks you could do yourself.
- Never outsource thinking.
4. AI as a Tool, Not a Crutch
My take:
Use AI as a tool, not a crutch.
Master the fundamentals, then let AI help you scale.
5. Your Approach to AI?
AI and jobs is a topic for another time.
But I want to hear from you:
👉 Do you treat AI as a co-worker, an intern, or a threat?
💡 If you’re looking to build something powerful with the right mix of AI + engineering, check out my work at www.devtriex.com.
