Lesson 1153 of 1570
Telling AI Your Bug Hypothesis Before Asking for the Fix
Sharing what you *think* is broken — not just the symptom — gets you sharper answers from Claude or ChatGPT.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2hypothesis
- 3debugging
- 4scientific method
Concept cluster
Terms to connect while reading
Section 1
The big idea
When you ask 'why is my form not submitting?' the AI guesses. When you ask 'I think the onClick is firing but the fetch is failing — am I right?' the AI can confirm or correct your specific theory. Hypothesis-driven debugging works the same with AI as with humans.
Some examples
- You tell Claude 'I think this useEffect is running on every render — confirm or deny' and it confirms with a fix.
- You ask ChatGPT 'I suspect a CORS error, not a 500 — check the trace' and it agrees and explains why.
- You describe to Cursor your guess that a race condition is the cause and ask it to verify in the code.
- You tell Copilot Chat 'I think the regex is greedy — that's the bug, right?' and it confirms with the fix.
Try it!
Next bug you hit, write your theory in one sentence before asking for help. See if the AI confirms, denies, or surprises you.
Key terms in this lesson
End-of-lesson quiz
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