AI Code Generation Tools Checklist Workbook

Checklist & Workbook · AutoMoney Store · 2026-06-18

This workbook guides you through evaluating and using AI code generation tools like GitHub Copilot, Tabnine, and Amazon CodeWhisperer. Use the checklists to track your progress, optimize prompts, and improve code quality.

Checklist

• Identify your coding tasks (e.g., debugging, refactoring, writing functions) and list 3 tools to test.
• Install and configure your chosen AI tool in your IDE (VS Code, JetBrains, etc.).
• Test basic prompt templates: 'Write a Python function to [task]' and 'Refactor this code for [goal]'.
• Document 5 successful code outputs and 5 failures, noting prompt phrasing differences.
• Evaluate output accuracy using a rubric: correctness (0–10), readability (0–10), efficiency (0–10).
• Explore tool-specific features: GitHub Copilot's 'Explain' and 'Fix' commands, Tabnine's context awareness.
• Compare performance on a sample project (e.g., a 500-line script) across 2 tools.
• Summarize findings: which tool fits your workflow best, and 3 prompt improvement tips.

Support

If you have any questions about this product, please contact our support team. We typically respond within 24 hours.

License

This product is for personal use only. Redistribution or resale is strictly prohibited. You may use the content for your own projects, including commercial projects, but you may not share the raw files with others.

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