Part 2 of 3: Old-School Skills That Make AI Work
- Sep 11, 2025
- 1 min read
Part 2 of 3: Old-School Skills That Make AI Work
Facebook Title: AI projects don’t fail because the tech is bad. They fail because the basics are missing. And that’s exactly where seasoned programmers shine. Let me show you…
The myth is that AI is about what's shiny and new. However, the truth is, AI succeeds or fails based on time-honored skills.
Breaking down fuzzy goals: When a boss says, “We need AI to help customers,” rookies get alarmed. Veterans? They’ve spent careers turning vague requests into step-by-step plans. FB: That's real #ProgrammersLife.
Connecting the dots: AI agents don’t work in isolation. They need to integrate with databases, APIs (Application Programming Interfaces), CRMs (Customer Relationship Management systems), and websites. Experienced programmers know how to wire everything together so that it’s reliable and secure.
Debugging when things get weird: AI can be unpredictable, sure. But debugging is debugging. Experienced programmers know how to isolate the issue, test systematically, and fix it without losing their cool.
👉 If you’ve built AI into your workflow, which of these old-school skills has saved you the most headaches?
(Gemini, September 1, 2025)
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