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The AI Coding Companion
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Learn a safer AI-assisted Python workflow for planning, debugging, testing, and code review. Includes reusable prompts, checklists, and a 30-day practice loop for beginners.
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Description
The AI Coding Companion: Python, Debugging, Tests, and Code Review for Beginners
Build a safer AI-assisted Python workflow without handing over your judgment. This beginner-friendly guide shows you how to plan coding tasks, reduce bugs to the smallest reproducible example, read explanations, debug with evidence, write useful tests, and review generated code.
Inside this practical ebook:
• Turn vague coding tasks into clear plans and checkable steps.
• Use error messages, tracebacks, and failing examples as evidence.
• Create normal, boundary, blank, and malformed-input tests.
• Refactor carefully while protecting behavior that matters.
• Keep private data, licenses, and team rules in view when using AI tools.
• Follow a 30-day practice loop that builds independent coding judgment.
This is a focused companion for beginners, self-taught developers, and anyone learning Python with AI assistance. It includes practical prompts, checklists, and review habits you can reuse on your next coding project.
Digital edition: DRM-free PDF plus reflowable EPUB for comfortable reading on phones, tablets, e-readers, and computers.
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