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34 How to Use AI to Solve Intractable Bugs?

Paid2026-05-12

34 How to Use AI to Solve Intractable Bugs? I've been thinking quite a bit lately and haven't talked about AI programming for a while. Don't worry, I haven't forgotten. Here's a catch-up post. I have plenty of material; I just haven't allocated the time to publish it. Many friends try a few times with different tools and models and fail, then hastily conclude: 'This kind of bug-hunting is too complex; AI can't handle it.' I want to say: you are dead wrong. Today's AI is not just a sharp tool; it's practically a dragon-slaying saber. Solving a few bugs is a piece of cake. So how do you actually do it? Let's talk principles first. There are a few secrets:

  1. Give the AI all the information you have, and tell it how to find any missing relevant info.
  2. Communicate with AI as an equal; hurling insults won't solve problems.
  3. Make judgments, set requirements, and tell the AI what you want. I won't elaborate on 1 and 2; I'll focus on 3 here. I happen to have a typical case—just look at the images. No extra explanation needed. I'll just ask you 2 questions:
  4. When you use AI to write code, do you communicate with it this way?
  5. What's the difference? Think about it.
Context engineering path
High-impression context engineering pages need checklists, workflows, and boundary decisions, not more definitions.

If the query started from context engineering, the strongest next move is a checklist, a real workflow example, and a RAG boundary comparison before you push the visit into the paid path.

34 How to Use AI to Solve Intractable Bugs? I've been thinking quite a bit lately and haven't talked about AI programming for a while. Don't worry, I haven't forgotten. Here's a catch-up post. I have plenty of material; I just haven't allocated the time to publish it. Many friends try a few times with different tools and models and fail, then hastily conclude: 'This kind of bug-hunting is too complex; AI can't handle it.' I want to say: you are dead wrong. Today's AI is not just a sharp tool; it's practically a dragon-slaying saber. Solving a few bugs is a piece of cake. So how do you actually do it? Let's talk principles first. There are a few secrets: 1. Give the AI all the information you have, and tell it how to find any missing

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