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Learn to effectively debug code when AI coding assistants like ChatGPT, Replit Ghostwriter, or GitHub Copilot provide incorrect diagnoses or ineffective fixes in this 13-minute tutorial. Master techniques to prevent AI tools from sending you in circles with hallucinated solutions and discover how to use these assistants more intelligently across full-stack development, backend logic, and script automation projects. Understand why AI coding tools frequently fixate on incorrect bug hypotheses and develop skills to craft smarter prompts that reset the AI's analytical approach. Explore prompt strategies that shift ChatGPT, Replit, or Copilot into "explainer mode" rather than "fix mode" to break cycles of wrong solutions. Discover how to isolate bugs using minimal reproducible examples (MREs) and learn when to challenge AI assumptions to refocus the assistant on actual root causes. Develop AI-assisted debugging workflows that maximize productivity without wasting time on hallucinated fixes. Perfect for developers using AI tools for coding assistance, new programmers learning to pair program with AI assistants, and anyone experiencing frustration with AI misdiagnosis of coding errors.
